PhD Course Management

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In this workshop, we make the objectives of the PhD education explicit and equip students with strategies and tools to develop as independent scientists. In session 1, we discuss the skills and competences of a PhD – and their importance to society. In session 2, students present their research projects in small, cross-departmental groups and for each project discuss the opportunities for developing independence. Session 3 has a focus on the collaboration with supervisors and presents ways to negotiate roles and address progression during the education.

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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 onboarding programme will introduce different work tools all relating to the process of initiating and doing a PhD project in the best way possible. These will be introduced through peer-mentoring groups and workshops with different topics. By participating in the onboarding programme the PhD students will be offered an insight into handling ups and downs during their PhD, and how to develop as a young scientist. The onboarding programme will also give the PhD students an opportunity to meet fellow PhD students and expand their network – both socially and academically. Read more here.

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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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At this course you will practice a number of writing tools that will make your daily writing practice more efficient.

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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 writing processes.

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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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In this module, AU Library will introduce you to the task of working with data and publications, both your own and that of others: How to find data and publications, manage them, and what to be aware of, when you want to publish your results, including copyright and Open Access.

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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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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 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 equip students with a strategy to write efficiently and the tools they need to deliver a high quality, high impact scientific paper. It is designed in a workshop style and as a condensed version of the Science Writing and Communication course, focusing on how to write.

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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 course objective is to strengthen your teaching skills and competences as a PhD student. The course provides guidance and inspiration for planning and implementing teaching to enhance students’ learning. In collaboration will peers you will learn to apply tools to identify and find solutions for challenges in your own teaching. During the course, you will train your teaching skills by developing and implementing a teaching activity in your own teaching and use methods to provide feedback.

The course addresses both traditional and online teaching, and you will have the opportunity to specialize in the type of teaching which is most relevant for you.

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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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The course objective is to strengthen your teaching skills and competences as a PhD student. The course provides guidance and inspiration for planning and implementing teaching to enhance students’ learning. In collaboration will peers you will learn to apply tools to identify and find solutions for challenges in your own teaching. During the course, you will train your teaching skills by developing and implementing a teaching activity in your own teaching and use methods to provide feedback.

The course addresses both traditional and online teaching, and you will have the opportunity to specialize in the type of teaching which is most relevant for 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 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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The aim of this course is to: 1) Equip students with the tools they need to approach and deliver a high quality, high impact scientific paper, proposal or poster. 2) Give students a space for immediate and direct feedback to progress more rapidly with their active or developing manuscripts or proposals.

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