PhD Course Management

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

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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.

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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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The aim of this course is to impart knowledge about and give course participants an introduction to academic text production in English within the field of natural sciences and technical sciences, applying textual and discourse strategies and methodologies in accordance with the current conventions of written academic English in natural sciences and technical sciences.

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The course aims to provide a comprehensive overview of the methodologies used across the cardiovascular research disciplines. The course will teach critical aspects of designing, conducting, and interpreting cardiovascular research within basic, epidemiological, and clinical research.

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The aim of this workshop is to provide PhD students with an opportunity to reflect upon research integrity, responsible conduct of research, and freedom of research in relation to their own research. The course will enable them to understand and incorporate issues concerning research planning, data management, publication and communication, authorship and contributorship, collaboration, and conflicts of interests into their own research practices.

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PRO data has the potential to measure what matters to patients in their daily life, so PRO assessments are critical aspects of clinical research. 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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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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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 aim of this course is to train the students’ general and disciplinary writing ability to enhance successful disciplinary writing and editing in conformity with contextual/situational, discoursal and genre- and text-type conventions and requirements of written academic English in natural sciences and technical sciences.

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Focusing on analysis, students will gain an in-depth understanding of the scientific theoretical basis guiding the analytical process in phenomenological qualitative research. The students will be able to apply relevant analytical approaches and to make consistent and well-informed choices in relation to qualitative 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