PhD Course Management

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To achieve knowledge on data documentation, basic statistical tests and the assumptions for performing these tests.

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The course aims to provide the background for critical reading and interpretation of epidemiological research articles.

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The aim of the course is to introduce advanced optical techniques for in vivo imaging and how these can be applied in research projects

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The course aims to provide the basic tools to use Mixed Models, including Gaussian Linear Mixed Models, Models for Repeated Measures, Generalised Linear Mixed Models and simple Multivariate Generalised Linear Mixed Models.

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The aim of the course is to introduce stereological techniques which can be used for three-dimensional quantification by means of measurements on physical, optical or virtual section planes obtained by microscopy and other imaging techniques.

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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.

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Having completed this course the student will be able to:

Handle research data in a way that live up to legal- as well as basic scientific requirements
Relate to the basic principles of data documentation
Relate to Stata’s user-interface and basic functionalities
Use Stata’s build-in help system
Build well-structured command-files (“do-files”) to enhance transparency and reproducibility

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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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This course is designed to give participants a crash course in presentation skills. In the 4 workshops, we will cover ways to grab and keep your audience’s attention, structure content to clearly and effectively convey your message, and confidently deliver your talk. We will initiate the course with a discussion on how to develop a talk with the audience and purpose in mind, focusing on how to approach either a scientific or nonscientific talk- the similarities and differences.

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Having completed this course the student will be able to:

Handle research data in a way that live up to legal- as well as basic scientific requirements
Relate to the basic principles of data documentation
Relate to Stata’s user-interface and basic functionalities
Use Stata’s build-in help system
Build well-structured command-files (“do-files”) to enhance transparency and reproducibility

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The aim of the course is to introduce the student to the basic use of the programming language Python. The course is designed to build up the basic skills in Python necessary for attending the course Basic Data Science in Python.

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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 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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Having completed this course the student will be able to:

Handle research data in a way that live up to legal- as well as basic scientific requirements
Relate to the basic principles of data documentation
Relate to Stata’s user-interface and basic functionalities
Use Stata’s build-in help system
Build well-structured command-files (“do-files”) to enhance transparency and reproducibility

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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 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 improve the participants chances of publishing the results of their research in international peer-reviewed scientific journals.

Application: In order to apply for course participation, you must:

1. Sign up for the course via PhD Course Management
2. Submit an abstract (max. 250 words – in English) based on the draft manuscript described under criteria for participation
3. Submit a short application (max. 500 words – in English) describing why you wish to participate in the course

Both abstract and application must be submitted to course secretary, Annette Poulsen, annette@au.dk no later than 2 weeks before application deadline.

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The aim of the course is to understand what a p-value is and what it is not. Misconceptions in the use of p-values and statistical significance will be covered. Recommendations on how to report and interpretate research results will be provided.

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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 provide an overview and update on Danish registries and their potential use for cardiovascular research. With a critical review of the completeness and validity of data, this course is essential for researchers using Danish registries to define cardiovascular cohorts, exposures, outcomes, and co-variables.  

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The main aim of the course is to give PhD students and postdoctoral fellows a broad overview of how sex influences the mechanisms behind metabolic and cardiovascular disease. Another important aim is to facilitate the development of novel networks between researchers in the diabetes, cardiovascular and data science fields as well as between basal and clinical researchers.  

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The course provides the students with basic skills using the most common, simple statistical models and analyzes in medical research.

NB! If you are enrolled per 1 May 2015 or after, "Basic Biostatistics" will no longer be mandatory. Thus, it is up to you to agree with your main supervisor whether or not you should participate in "Basic Biostatistics".

Please note that participating in PhD courses on advanced statistical topics including Statistical Analysis of Time to Event Data, Linear regression models for continuous and binary data, Analysis of variance and repeated measurements and Applied Statistical Analysis with Missing Data requires completion of ‘Basic Biostatistic’ part 1 and 2 (former known as ‘Basic Biostatistic’ (8 days)) or similar.

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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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This course aims to give students a greater understanding of the R language for them to produce more clean, sophisticated, and efficient R code, and make them adopt better practices and learn more about packages and tools that will simplify their life when coding in R and doing some data analysis and visualization.

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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 introduce the PhD student to basic tasks, methods and evaluation procedures in data science, using Python and its libraries and environments.

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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. 

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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 purpose of the course is to give participants an introduction to clinimetric testing of questionnaires.

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The course covers purposes of and methods for studies of prognosis. The basic principles of survival analysis will be introduced, and we will cover differences and similarities between hypothesis-testing studies and prediction studies, Cox regression, competing risk studies, data driven variable selection vs prespecifying models, and validation of models. There will be both lectures and exercises.

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The aim is to introduce PhD students at Health, Aarhus University to the basic terms and principles of GMP controlled manufacture of pharmaceutical products.

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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, applying textual and discourse strategies and methodologies in accordance with the current conventions of written academic English in health sciences

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In this course, the major stress theories will be presented and participants will be introduced to stress, defined as a continuously ongoing physiological adaptation to changes and challenges (stressors) with the ultimate goal of returning to homeostasis. Whereas temporary stress can be positively stimulating, long-term stress can induce perturbations that make tissues prone to pathological processes and diseases. We will dive into up-to-date knowledge about the genetic predispositions, environmental preconditions and behavioural manifestations of stress and resilience. It will be explained how abuse, neglect, and other trauma can induce life-long maladaptive reactions to stress. The implications to clinical practice of current insights from stress/resilience science will be discussed, and evidence-based methods of stress reduction/resilience training and the supposed underlying mechanisms will be introduced.

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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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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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The aim of this course is to train the students to become sustainable change-makers. The participants will be learning relevant tools while working in multidisciplinary and international teams. Using critical thinking approach and flipped classroom method, students learn more specifically to identify and critically evaluate sustainable innovation issues within various scenarios, utilizing a wide range of techniques, concepts and models, and then come up with and present innovative solutions and apply competitive strategies using an entrepreneurial mindset.

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The aim of the course is to give an introduction to the main research fields in health sciences and to give an introduction to the requirements for conducting a research year or a PhD.

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The aim of the course is to provide participants 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 aim of the course is to provide students with an overview on how to take a research idea through to implementing, analysing, and interpreting an epidemiologic study, using Denmark’s unique network of medical and population-based registries. Each concept will be introduced in a lecture. Through a combination of exercises and computer labs, students will be provided with guidance on implementing, analysing and interpreting studies using data on important chronic diseases from the Danish databases and registries. Students are not required to complete an exam at the end of the course. 

This course is relevant to those working with clinical and epidemiological studies of any chronic disease.  There will be an introduction to the basic and advanced observational methodology toolbox within clinical outcome studies. We will present methods applied to the study of chronic diseases including cancer, cardiovascular disease, respiratory disease, diabetes/obesity, kidney disease, and bone disease, among others. Methods will include traditional epidemiological study designs for a single chronic disease, but also novel approaches to study treatment, multi morbidity, and chronic disease in a life-course perspective.

Short description

The course provides the students with basic skills using the most common, simple statistical models and analyzes in medical research.

NB! If you are enrolled per 1 May 2015 or after, "Basic Biostatistics" will no longer be mandatory. Thus, it is up to you to agree with your main supervisor whether or not you should participate in "Basic Biostatistics".

Please note that participating in PhD courses on advanced statistical topics including Statistical Analysis of Time to Event Data, Linear regression models for continuous and binary data, Analysis of variance and repeated measurements and Applied Statistical Analysis with Missing Data requires completion of ‘Basic Biostatistic’ part 1 and 2 (former known as ‘Basic Biostatistic’ (8 days)) or similar.

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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 students will obtain knowledge about bone cells and bone biology under physiological and pathophysiological conditions such as osteoporosis, rheumatology, rare bone diseases, cancer-induced bone diseases, and parathyroid and kidney diseases, as well as their current therapies. Moreover, the student will obtain basic knowledge about clinical and pre-clinical bone study design, in vitro cell cultures, serum bone markers, bone epidemiology, pre-clinical and clinical computed tomography (CT) and DEXA, and bone pathology and histology. Finally, the students will learn to identify the strengths and weaknesses in their PhD-study, and network with fellow PhD students within the bone field.