PhD Course Management

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

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

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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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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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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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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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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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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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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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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 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 expand participants’ strategies and methods in supervision. 

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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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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.

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As a part of their teaching responsibilities, PhD-students sometimes act as co-supervisors for undergraduate students’ bachelor projects, written assignments, master thesis, or research year assignments. In doing so, the PhD-students play an important role as a near-peer-supervisor guiding the students in their learning. This course aims to prepare PhD-students for their role as co-supervisors on undergraduate students’ assignments and/or learning processes. The course is relevant for all PhD students who wish to improve the quality of their supervision of undergraduate students.

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To introduce university pedagogical principles pertinent to good teaching. Participants will develop both practical methods and theoretical insights into reflective practice as a teacher aiming for quality teaching with a student-centered teaching approach.

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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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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 familiarize the student with the principles of magnetic resonance and its use in biomedical research.

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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.

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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