PhD Course Management

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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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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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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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Throughout the workshop, participants will identify factors that challenge their well-being, work-life balance, and productivity, and explore practical strategies for preventing and managing these challenges.

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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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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. 

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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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The aim of this course is to introduce research data management. Finding, collecting, analyzing, storing and sharing data are central activities in research. Research Data Management (RDM) and FAIR (Findability, Accessibility, Interoperability, Reusability) principles are thus becoming increasingly important, and researchers are often required by institutions and funders to prepare a data management plan.

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Throughout the workshop, participants will identify factors that challenge their well-being, work-life balance, and productivity, and explore practical strategies for preventing and managing these challenges.

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The course aims to equip students with the knowledge and skills necessary to measure and analyze socioeconomic differences in clinical epidemiological research using the Danish registries. Through a combination of lectures and group work, students will gain practical guidance on designing, implementing, analyzing, and interpreting studies involving socioeconomic position data from these registries. The course is non-examinable, focusing on active learning and application.

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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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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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To introduce the concept of patient and public involvement in health research and acquire participants a science- and theory-based understanding of patient and public involvement in health research. The course will increase the participants’ ability to identify and increase the value of patient and public involvement in health research by suggesting how patient and public involvement in health research could optimally be a part of their own study and which implications would be important for practice.

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 To create a framework for integrating project management tools into work habits for Ph.D. students to help them stay on track or get back on track in the second half of the PhD process.  The content includes time to reflect on bottlenecks and scheduling needs related to completing your Ph.D. project on time.  In addition, you will be introduced to risk analysis tools and Kanban boards.

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The course introduces participants to R and RStudio as tools for data management, basic programming, and data visualisation. It aims to provide the fundamental skills needed to write clear and reproducible R scripts, handle common data structures, and perform simple descriptive and graphical analyses. The course focuses on programming principles and reproducible workflows rather than statistical theory.

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to provide participants with the theoretical understanding and practical skills required to rigorously design a mixed methods study, integrate qualitative and quantitative approaches, structure mixed methods manuscripts, and strategically disseminate their research through high-quality academic publications.

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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 educate participants about different image diagnostic methods and their potential for research and clinical investigation of the human body/musculoskeletal system including baseline knowledge on their advantages/limitations and risks (radiation physics, protection and doses/risks).