PhD Course Management

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As a part of their teaching responsibilities, PhD-students sometimes act as co-supervisors for undergraduate students’ bachelor projects, written assignments, master thesis, or research year assignments. In doing so, the PhD-students play an important role as a near-peer-supervisor guiding the students in their learning. This course aims to prepare PhD-students for their role as co-supervisors on undergraduate students’ assignments and/or learning processes. The course is relevant for all PhD students who wish to improve the quality of their supervision of undergraduate students.

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The aim of this course is to impart knowledge about and give course participants an introduction to academic text production in English, applying textual and discourse strategies and methodologies in accordance with the current conventions of written academic English in health sciences.

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The aim of this course is to impart knowledge about and give course participants an introduction to academic text production in English, applying textual and discourse strategies and methodologies in accordance with the current conventions of written academic English in health sciences.

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To give students practical experience in using advanced AI methods for scientific writing tasks; the ability to respond efficiently to reviewer feedback using AI; skills to synthesise multiple scientific papers into a coherent PhD thesis or grant applications; the ability to challenge existing knowledge and develop new ideas using AI.

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The course provides the students with basic skills using the most common, simple statistical models and analyzes in medical research.

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A welcome event for all newly enrolled PhD students to the PhD programme to give  them the opportunity to meet and interact with fellow PhD students and AU representatives from fields relevant during the PhD programme.

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Mandatory for main supervisors

The quality of PhD students’ education is partly dependent on the PhD supervisor’s competencies as a supervisor. The aim of this course in PhD supervision is to expand the participants’ repertoire of supervision strategies and methods to provide a flexible approach to supervision, strengthen their reflections on practices, roles, and relationships in the supervision process, and share experiences and new knowledge for advancing PhD supervisors’ competencies.

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To create a framework for integrating project management tools into the interaction between supervisors and Ph.D. students.  The content includes a post assignment asking you to work together with your advisor, agreeing on how to use these tools in your communication about progress.  These tools enable you both to integrate planning for key decision points related to your Ph.D. project.  In addition, you will be introduced to the PDCA framework, which stands for Plan-Do-Check-Act.  This framework will be used to reflect on how to optimize your independent work through Plan-Do; and your work with others through Check-Act.

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The course will provide didactic and plenum discussions on cancer diseases and research. The theoretical lectures will include insight into the disease, methodology for research, progression to clinical trials, and common errors that hamper project development. The course will have a strong focus on the progression of a project from basic research to clinical application. Furthermore, students are asked to present their projects, including a critical perspective and applied new possibilities for the projects to reach a higher impact of their work.

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The course aims to provide a comprehensive overview of the methodologies used across the cardiovascular research disciplines. The course will teach critical aspects of designing, conducting, and interpreting cardiovascular research within basic, epidemiological, and clinical research.

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To give students practical experience in using advanced AI methods for scientific writing tasks; the ability to respond efficiently to reviewer feedback using AI; skills to synthesise multiple scientific papers into a coherent PhD thesis or grant applications; the ability to challenge existing knowledge and develop new ideas using AI.

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To give the participants understanding of the basic principles in laboratory animal science. The course is obligatory for persons, who wish to participate in research using laboratory animals, either by carrying out procedures on animals (EU category A) or euthanize animals (EU category D). The course is designated as an EU function A/D course according to the EU Directive 2010/63 and EU Article 23.2 (previously category B by the Federation of European Laboratory Animal Science Associations). The course gives an introduction to practical and theoretical handling, housing and using laboratory animals and how to replace, refine and reduce the use of live animals for research (3R).

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The aim of this course is to improve the participants chances of publishing the results of their research in international peer-reviewed scientific journals.

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The aim of the course is to provide a solid theoretical and practical foundation in modern flow cytometry, enabling participants to assess and conduct flow cytometric experiments independently.

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The aim of this course is to train the students’ general and disciplinary writing ability to enhance successful disciplinary writing in conformity with contextual/situational, discoursal and genre- and text-type conventions and requirements of written academic English in health sciences.

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Getting familiar with the theoretical background, the experimental methods, and the interpretation of results in studies investigating the consequences of mutations and molecular disease mechanisms, with a focus on inborn and acquired metabolic disorders.

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The course aims to equip participants with both knowledge and practical tools for running an implementation project from A to Z. Thus, participants will learn about a broad aspect of implementation science theories, models and frameworks, but also about the practical tools to conduct implementation processes. The course is very much a hands-on course, where participants will practice application of the different methods and tools both in the class room, but also in practice in their own setting between course days.

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This course aims to impart knowledge about and give participants an introduction to and practical experience using artificial intelligence (AI) tools to enhance their scientific and academic writing process.

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Half-way in your PhD, you now know what being a PhD student really is about. It is also a turning point where questions such as “what options do I have”, “how can I make the most of my doctoral degree” and  “how do I make a sensible choice for my future career “ may start to pop up and cause both excitement and concern. This workshop aims at giving you the tools to answer those questions and to support you in being able to make an informed choice for the next step in your career. In the workshop, you will consider 1. your professional development so far and whether there competences you would like to improve during your part b, and 2. How you can start preparing for the transition by building your network, understanding your options and increasing your awareness of what a “good” job/work life is to you.

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This course aims to impart knowledge about and give participants an introduction to and practical experience using artificial intelligence (AI) tools to enhance their scientific and academic writing process.

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The course provides an introduction to more advanced statistical models and analyzes in medical research.

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The purpose of the course is to give participants an introduction to clinimetric testing of questionnaires.

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To make the research year students familiar with the most important medical databases, and enable them to perform qualified searches for relevant scholarly literature. Participants will be introduced to systematic literature searching as well as citation searching and reference management.

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By the end of the course, the PhD student will:

• Be familiar with the Danish Code of Conduct for Research Integrity as well as Aarhus University guidelines and Health standards of Responsible Conduct of Research
• Be able to understand and discuss principles of research integrity and responsible conduct of research
• Be able to identify, analyse and discuss cases of scientific misconduct and questionable research practices in the grey zone between misconduct and poor science
• Know where to seek advice concerning responsible conduct of research

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This course aims to impart knowledge about and give participants an introduction to and practical experience using artificial intelligence (AI) tools to enhance their scientific and academic writing process.

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This course aims to impart knowledge about and give participants an introduction to and practical experience using artificial intelligence (AI) tools to enhance their scientific and academic writing process.

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Structure and content of the databases will be reviewed. With respect to literature searching, emphasis will be on PubMed, and the participants will learn to construct precise search strings by employing the tools (e.g. MeSH) of the databases. The focal point of the introduction to Web of Science and Scopus will be cited reference searches. In continuation of this, issues of “What is scientific quality, and can it be measured?” (‘impact factor’, H-index, research registration, etc.) will be discussed. Furthermore, topics related to the publication of research results will be presented and discussed (Responsible conduct of research, Copyright, Open Access, and Predatory Journals). Finally, reference management programs (EndNote) will be introduced.

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A PhD is a time to submerge into interesting research and exciting new contexts, but it is also a time to tend to your future career. Your PhD is a step towards your next job regardless of your professional background and your thoughts on career direction. This session will aim at encouraging you to build career management skills during your PhD: strengthen your knowledge and understanding of how adding a career perspective to your PhD is beneficial both for your professional development as a researcher and for ensuring that you have the skills, knowledge and experience necessary for your next career step, whatever that is.

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Kurset er en overbygning på det tre dages varende grundmodul i forskertræning afholdt af Århus Universitet, og henvender sig til de læger under uddannelse, hvis speciale ikke har et selvstændigt overbygningskursus. 

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The aim of this course is to train the students’ general and disciplinary writing ability to enhance successful disciplinary writing in conformity with contextual/situational, discoursal and genre- and text-type conventions and requirements of written academic English in health sciences.

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The aim of the course is to ensure that the participants can convey and handle responsible research communication of their own PhD project. Through different media channels and via different presentation techniques, the participants will be able to explain and present complex research in an engaging and understandable way to an audience whether it be the general public, journalists, patients, students in a classroom or a foundation’s review committee.

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A welcome event for all newly enrolled PhD students to the PhD programme to give  them the opportunity to meet and interact with fellow PhD students and AU representatives from fields relevant during the PhD programme.

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The aim of this course is to ensure participants are able to apply the Three Rs (reduce, replace, refine) effectively in the design of procedures and projects and make appropriate ethical and scientific judgments. The course is obligatory for persons who wish to achieve a personal license to independently plan, implement and take responsibility for the design and performance of animal experimentation within the European Union according to the EU Directive 2010/63/EU Article 23.2 and the Danish executive order 12 of 07/01/2016, §56

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To introduce university pedagogical principles pertinent to good teaching. Participants will develop both practical methods and theoretical insights into reflective practice as a teacher aiming for quality teaching with a student-centered teaching approach.

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The aim of this course is to impart knowledge about and give course participants an introduction to academic text production in English, applying textual and discourse strategies and methodologies in accordance with the current conventions of written academic English in health sciences.

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The course aims to

• Provide theoretical background of advanced spatial modelling, analyses and visualization
• Introduce participants to spatial programming
• Give participants hands-on experience in advanced spatial analyses and programming with focus on health-related exercises

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The course aims to enable the participants to formulate specific review questions; to map key concepts using scoping review, to critically appraise, extract and pool quantitative evidence; to critically appraise, extract and pool data generated from quantitative data and qualitative data respectively and to pool data generated from both quantitative and qualitative evidence. The course also aims to enable the participants to develop a protocol for a systematic review for submission in e.g., Prospero

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Participants will learn about key Danish national registers and how to use them for research purposes, through a combination of lectures, short research presentations with examples, discussions and exercises. This course will provide participants the necessary knowledge and skills to start their own research project based on national registers and cohorts.

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The aim of the course is to give a practical and theoretical introduction to immunoassays with focus on quantitative assays (ELISA, TRIFMA). The course will give the participants skills to work with quantitative immunoassays in the laboratory and to troubleshoot in relation the daily routine work.

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To give students practical experience in using advanced AI methods for scientific writing tasks; the ability to respond efficiently to reviewer feedback using AI; skills to synthesise multiple scientific papers into a coherent PhD thesis or grant applications; the ability to challenge existing knowledge and develop new ideas using AI.

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Epidemiologic measures of occurrence and association, study designs - including macro-epidemiological, cross-sectional, case-control and cohort studies as well as experimental, randomized controlled trials - interpretation and inference, including random error, selection and information bias, confounding and effect modification. A specific session will deal with causation. 

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Det samlede 20-dages varende forskningsmodul i speciallægeuddannelsen har til formål at opøve kompetence til at opsøge, vurdere og udvikle ny viden samt anvende denne viden til kritisk vurdering samt evaluering af etableret praksis. 

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The purpose of the course is to give participants in-depth knowledge of clinimetric testing of questionnaires and how to interpret relevant statistical output.

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To give the participants an introduction to Analysis of Variance with focus on repeated measures in experimental studies, and to enable the participants to choose a relevant statistical analysis of own data.

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To support PhD students in their career decision-making process by increasing their career awareness, and to prepare them for the transition between academia and industry/public sector jobs.

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This course aims to impart knowledge about and give participants an introduction to and practical experience using artificial intelligence (AI) tools to enhance their scientific and academic writing process.

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This course aims to assist and support in navigating the application process for both small and large grant applications. This task can be particularly challenging for PhD and research year students.

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The course aims to provide students with the skills necessary to critically use the qualitative software programme NVivo and to train the students in using NVivo to organise and analyse different types of qualitative data.

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The aim of this course is to train the students’ general and disciplinary writing ability to enhance successful disciplinary writing in conformity with contextual/situational, discoursal and genre- and text-type conventions and requirements of written academic English in health sciences.

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Det samlede 20-dages varende forskningsmodul i speciallægeuddannelsen har til formål at opøve kompetence til at opsøge, vurdere og udvikle ny viden samt anvende denne viden til kritisk vurdering samt evaluering af etableret praksis.