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

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The aim of the course is to introduce PhD students at Health, Aarhus University to the basic terms and principles of GMP controlled manufacture of pharmaceutical products.

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To create a framework for integrating project management tools into the interaction between supervisors and PhD students.

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

Application: In order to apply for course participation, you must:

Sign up for the course via PhD Course Management and at the same time:

• Submit an abstract (max. 250 words – in English) based on the draft manuscript described under criteria for participation
• Submit a short application (max. 500 words – in English) describing why you wish to participate in the course

Both abstract and application must be submitted, in one file, at the same time as registering for the course.

Registrations for the course without these two documents will not be taken into consideration.

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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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Getting familiar with the theoretical background, the experimental methods, and interpretation of results in studies investigating consequences of mutations and molecular disease mechanism. 

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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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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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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 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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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 an introduction to clinimetric testing of questionnaires.

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To make the participants familiar with the most important medical databases, and enable them to perform qualified searches for relevant scholarly literature.  Furthermore, to make the participants aware of basic principles of research evaluation and different aspects related to research publication.

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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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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 aim of this course is to introduce and discuss basic philosophy of science. Hence, the course introduces and discuss’ the concepts of ontology, epistemology, and methodology in order to answer the questions of what research is and what counts as research-based knowledge.

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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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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 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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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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The objective of this PhD course is to familiarise participants to modern statistical methods for analyses of exposure data, in order to improve exposure effect analyses in occupational and environmental epidemiological studies.

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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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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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Insulin resistance plays a pivotal factor in the pathogenesis behind dysmetabolic conditions like diabetes and cardiovascular disease. The aim of this course is to introduce state of the art understanding of various aspects of human insulin resistance, and to introduce methods and techniques used to assess insulin resistance and related metabolic parameters in clinical research.

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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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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 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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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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This is a blended learning course in university teaching and learning that lays the foundation for reflective teachers at the PhD-level. It introduces the following topics: Constructive alignment, Student-centered teaching, Learning outcomes, Feedback, Reflective teaching logbooks. Activities include reading materials, watching videos, producing texts and models, participating in individual and group activities both in-class and out-of-class, developing lesson plans and teaching logbooks, as well as giving peer feedback. Completion of the course, receiving ECTS credit, and obtaining a diploma require active online participation, completion of all activities (including peer feedback and logbook), and adherence to activity deadlines.

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

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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 course will introduce the concepts of Research Data Management, FAIR principles, and Data search. Different aspects and practices related to these concepts will be presented. The lessons will be a mix between theory, class discussions, and hands-on exercises.

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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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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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The aim of the course is to give an introduction to the main research fields in health sciences and to give an introduction to the requirements for conducting a research year or a PhD.

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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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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.

Short description

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.