PhD Course Management

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The aim of this PhD course is to familiarise students with the principles, pipelines, and coding involved in the analysis of single-cell RNA sequencing data. These skills can be applied to the study of transcriptomics at single-cell resolution.

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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 introduce frameworks for designing public health interventions. Including developing skills to work with program theory and logic models. Socio-ecological models of health will form the basis of the course. The course will include basic introduction to evaluating, with a subsequent additional course in evaluation of complex interventions (March 2026).

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The course aims to provide participants with a solid foundation in fluorescence microscopy, focusing on basic techniques, sample preparation, image acquisition, and image analysis. 

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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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Take a deep dive into a complex, real-life case from the biotech company Roche. 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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The course provides the students with basic skills using the most common, simple statistical models and analyzes in medical research.

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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 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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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 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 is to apply Bayesian statistics in the analysis of biological or clinical data.

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The aim of the course is to increase your personal and professional success by learning how to lead yourself, your project and your important relations.

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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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Participants will acquire a science-based, theoretical understanding for and basic skills in applying different methods for the purpose of producing empirical material.

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The aim of the course is to train participants at the highest level through a series of neuroscience masterclasses dealing with state-of-the-art concepts and applications within all areas of basic and clinical neuroscience. A second aim of the course is to facilitate further collaborations and enhance insight into local neuroscience expertise in Aarhus by stimulating interactions among the participants and lecturers.

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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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The aim of the course is to give the participants knowledge on best practice procedures when using the pig as an animal model in preclinical science. The students will learn more about ethics and the 3Rs. The course will furthermore draw attention to the importance of anaesthesia and analgesia and the participants will gain hands-on experience performing general surgical procedures. There will be lectures on regulatory requirements and application procedures.  

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The aim of the course is to gain skills in Rhetoric of Science and reflection in order to improve academic and research presentations.

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 To provide participants with a basic understanding of the programming environment MATLAB. Enable participants to use built-in MATLAB functions and create own scripts and functions for data evaluation and visualization.

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

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The aim is to provide a comprehensive overview of pain physiology and the principles and methods used to classify and measure pain.

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The aim of the course is to give students the knowledge and the skills to carry out a meta-analysis. Meta- analyses are a prerequisite for a final compilation of results of several types of systematic reviews. Without this skill, it is impossible to finalize the review and interpret the results in order to provide a basis for clinical guidelines.

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To introduce PhD students to the fundamentals of design and analysis of clinical epidemiology research. Each concept will be introduced in a lecture. Students will then carry out in-class exercises applying the fundamental principles introduced in the lecture to actual examples from the scientific literature. Students are not required to complete an exam at the end of the course. Participation is mandatory to achieve ECTs points.

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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 aim of the course is to introduce the student to machine learning techniques and enable the student to apply these methods to analyze complex data sets as typically encountered in modern research. The student will achieve an understanding of the theoretical background of supervised- and unsupervised machine learning techniques and will gain practical experience in applying these techniques in real-world data analysis.

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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 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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On behalf of the Cardiovascular Network at Health, we are offering a 3 ECTS course in grant writing, targeted towards junior researchers, who seek to apply for research funding to support their studies. The course will provide a forum of collegial cooperation and support for the grant submissions, where the student’s main supervisor is also expected to be heavily involved.

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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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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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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 the background for critical reading and interpretation of epidemiological research articles.

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To facilitate the participants use of secondary data sources in clinical 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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The aim of the course is to introduce the main research fields in health sciences and to give an introduction to the requirements for conducting a research year or a PhD at HEALTH.

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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 is to introduce to the conduct of a qualitative content analysis, and enable the participants to design and plan a qualitative content analysis. The participants will be able to apply qualitative content analysis, to make consistent and well-informed analytical choices, and to reflect on relevant methodological issues related to their study design and plan of conduct.

The course is relevant both for students who are planning to conduct a qualitative study or literature review, and for students who will use the qualitative content analysis to analyze their conducted material (e.g., interviews, field notes, transcripts, documents, articles).

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PRO data has the potential to measure what matters to patients in their daily lives. Thus, the overall aim of this course is to ensure high-quality research based on PRO data and to introduce the PhD students to the methodology of using PRO in clinical research.

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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 is to give the students an overview of proteomics and the study of complex protein samples. The course will cover the theoretical basis and practical methodology of proteomics, as well of the sister technology metabolomics.

The course attendants will learn how to design and perform proteomic studies and will get understanding of its impact on research within life science and medicine.

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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 pre assignment and a post assignment asking you to work together with your supervisor, 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 aim of this course is to introduce a framework to guide decisions in how to evaluate public health interventions targeted health behaviour. The course will include quantitative, qualitative, mixed methods evaluation designs and system approaches to evaluation. The MRC model for complex interventions in health will form the basis of the course. The course build to some extent on the former course in developing complex interventions in public health. However, this course can also stand-alone.

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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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 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.