PhD Course Management

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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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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 aim is to give the participants an overview of basic fluorescence microscopy techniques, sample preparation, image acquisition and imaging analysis.

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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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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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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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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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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 2024).

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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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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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To present participants a state-of-the-art overview of key concepts and applications within all areas of basic and clinical neuroscience.

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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 objective is to strengthen your teaching skills and competences as a PhD student. The course provides guidance and inspiration for planning your teaching within science and technology disciplines based on principles for student-centered learning. During the course you will get hands-on experience with teaching techniques and technologies to enhance students’ active participation and learning. In collaboration with peers you will learn to apply tools to identify and find solutions for challenges in your own teaching and you will train your teaching skills by applying new teaching techniques and technologies in your own teaching and observing others.

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

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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 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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The aim of the course is to introduce the student to the basic use of the software R. The course is designed to build up the basic skills in R necessary for attending to the PhD course Basic Statistical Analysis.

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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 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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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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To expand participants’ strategies and methods in supervision. 

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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 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 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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The aim of the course is to introduce the PhD student to basic notions of statistical analysis and give an idea of a typical statistical modelling process.

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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 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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6 full day presence with a mix of lectures and case studies based on real-life examples. The participants will be trained in various concepts on how to drive innovative research projects. This includes preparing and presenting an investor pitch as well as submitting a high-level business plan.  Part of the course will be home assignments – both as part of a group and individually.

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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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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 PhD students.

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The aim of this course is to take a practitioners approach to project management focusing on both technical and sociocultural skills.

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To facilitate the participants use of secondary data sources in clinical research.

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Data visualization is the science and practice of encoding often large and complex datasets into visual representations to support their analysis and communication. Such a visualization can be worth more than a thousand words, as the saying goes -- but only if done right. Thus, the aim of this course is threefold in:

• conveying the theoretical aspects and guidelines of a data visualization that make it a truthful and useful representation of the underlying data;
• practicing to create tailored data visualizations that follow these guidelines through a structured ideation process and a deliberate design approach; and
• training to critically read data visualizations and to reason about their validity and effectiveness on the basis of the introduced guidelines, and to suggest improvements where necessary.

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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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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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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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The course aims to provide participants with an introduction to the use of directed acyclic graphs (DAGs) as a tool to control for confounding and other sources of bias. Moreover, the course will include a simple method to reason about the directions of potential biases. After the course, participants will be able to use DAGs as a practical tool in their own research.

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To introduce students to key issues, concepts, and research methods in psychiatric epidemiology. This course will provide an overview of current knowledge in psychiatry based on epidemiological research by highlighting the dynamic interplay of risk factors across the person (biology, psychology), context (family, social, neighbourhood, workplace, society) and time (societal and diagnostic changes across time), and the epidemiological methods used in psychiatric epidemiology.

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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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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.