PhD Course Management

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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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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 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 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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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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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 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 aim of the course is to:

• Provide theoretical background of spatial data and analyses
• Introduce participants to open-source GIS software (QGIS)
• Give participants hands-on experience in spatial analyses with focus on health-related exercises

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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.

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The course introduces participants to R and RStudio as tools for data management, basic programming, and data visualisation. It aims to provide the fundamental skills needed to write clear and reproducible R scripts, handle common data structures, and perform simple descriptive and graphical analyses. The course focuses on programming principles and reproducible workflows rather than statistical theory.

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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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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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The course aims to provide you with an idea about current methodologies, topics, and, not at least, principle investigators with research interests that could potentially help you on with your own project.

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To give students practical experience in using advanced AI methods for scientific writing tasks; the ability to respond efficiently to reviewer feedback using AI; skills to synthesise multiple scientific papers into a coherent PhD thesis or grant applications; the ability to challenge existing knowledge and develop new ideas using AI.

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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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PhD Writing Camp

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This course aims to assist and support in navigating the application process for both small and large grant applications. This task can be particularly challenging for PhD and research year students.

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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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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 course provides detailed knowledge on flow cytometry, with a thorough review of the theoretical foundation necessary for performing state-of-the-art flow cytometry experiments, and includes extensive practical hands-on data analysis exercises covering the most important topics and pitfalls. Thus, the course provides the participant with a broad understanding of how to design multicolour flow cytometry experiments, how to handle sample material, and how to analyse and present flow cytometry data for publication.

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The aim of this course is to introduce research data management. Finding, collecting, analyzing, storing and sharing data are central activities in research. Research Data Management (RDM) and FAIR (Findability, Accessibility, Interoperability, Reusability) principles are thus becoming increasingly important, and researchers are often required by institutions and funders to prepare a data management plan.

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The aim of the course is to ensure that the participants can convey and handle responsible research communication of their own PhD project. Through different media channels and via different presentation techniques, the participants will be able to explain and present complex research in an engaging and understandable way to an audience whether it be the general public, journalists, patients, students in a classroom or a foundation’s review committee.

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Building Research Independence in Natural Sciences PhDs

This workshop is designed to support doctoral candidates in the natural sciences as they navigate the critical transition from guided learning to independent research practice.

The workshop opens by explicitly clarifying the overarching objectives of the PhD education, and participants are provided with strategies and tools to strengthen their development as independent scientists. A key emphasis is placed on collaboration with supervisors, guiding the PhD candidates in how to negotiate roles, clarify responsibilities, and manage progression effectively throughout their doctoral journey.

The course emphasizes academic ownership, encouraging participants to reflect on how to assert their ideas and contributions within collaborative frameworks. Practical strategies will be introduced to help PhDs to develop or maintain confident, autonomous research practice. Attention will also be given to supervision styles, examining how different approaches can foster or hinder academic independence. By creating awareness of these dynamics, the participants will be better equipped to manage supervisory relationships constructively.

Finally, participants will gain tools for regularly aligning expectations with supervisors and collaborators according to the evolving phases of their research. This ensures clarity, reduces conflict, and strengthens the foundation for independent scholarly work. By the end of the course, PhD candidates will have a toolkit of reflective practices, communication strategies, and practical methods to assert independence while thriving in collaborative scientific environments
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.