PhD Course Management

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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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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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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 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 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 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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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 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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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 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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Doctoral students can be stressed, and many experience a need for more productivity. Using simple tools and establishing good writing habits can make the PhD and the research process more enjoyable and rewarding. The writing workshop focuses on you and your challenges; you have time to write your own text. Please bring your computer and a text that you are writing on at the moment!

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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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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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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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Take a deep dive into a complex, real-life case from a health tech company. Challenge yourself - as part of a multi-skilled team - to generate and validate ideas that can serve as the best solution to the company’s challenge.

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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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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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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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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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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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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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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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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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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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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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In the workshop, the participants will clarify the central requirements of their doctoral situation and recognise in which areas there is still catching up to do.

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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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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).   

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Introduction event for all newly enrolled PhD students at Technical Sciences, Aarhus University.

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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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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 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 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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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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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 PhD Day is an annual event taking place on the third friday in January as a joint venture between the PhD Association and the Graduate School of Health, Aarhus University. The day seeks to bring PhD students together and network across the broad diversity of scientific fields within health sciences that are represented at the faculty. The PhD Day is a mandatory part of the PhD programme at Health, and ALL PhD students must participate in PhD Day at least twice during their enrolment period.

The PhD day is a chance for you to present your research to your peers as well as to more experienced researchers.The event also offers the chance for you to act as co-chair during the presentations, giving you the opportunity to get experience with acting as a scientific panel member in a conference. 

The PhD Day will as always include a keynote lecture. In addition, we invite you to join us for the Fogh-Nielsen prize competition and for the JCD prize award ceremony.

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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 expand participants’ strategies and methods in supervision. 

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Welcome to the PhD Course Management

Please make sure to keep your contact email updated so we can send you course information.

We urge you to always read the full course description before you sign up for a course. 

For more information regarding specific faculty course rules and regulations, please visit the following websites:

Graduate School, Arts - PhD Course information

Graduate School Health – PhD Course information

Graduate School of Natural Sciences – PhD Course information

Scientific courses at Graduate School of Natural Sciences

Graduate School of Technical Sciences – PhD Course information

Scientific courses at Graduate School of Technical Sciences

Best regards, 

PhD Administration

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