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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The aim of the course is to introduce and discuss new methods and technologies in neuroscience, with a focus on current unresolved neuroscience questions. Another aim is to teach examples of the organizational, financial, and technical framework fostering future development and implementation of new neurotools.

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

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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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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

Short description

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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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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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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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 course will provide wide knowledge on research in nutrition and obesity. The first day will include an introduction to the newest knowledge on obesity epidemiology, genetics, basic science, metabolic associated fatty liver disease, and COVID-19 and obesity. The main focus of the second day will be Nutritional interventions in clinical research, treatment of obesity (lifestyle intervention, pharmacological treatment, and bariatric surgery), and stigmatization. Day 3 will be an introduction to different methods in nutritional and obesity research including experimental clinical research, epidemiology, and preclinical research, and the day will include workshops where the participants will work in smaller groups according to their main method interest.

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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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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 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 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 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

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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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Principles for designing nutritional epidemiological studies and different strategies for analyses of nutritional epidemiological data will be introduced. The current status of nutritional epidemiology, as well as potential directions and challenges will be discussed.

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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.

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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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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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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To expand participants’ strategies and methods in supervision. 

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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 administrator on mail courses.nat.tech.he@au.dk no later than 2 weeks before application deadline.

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The aim of the course 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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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 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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To create a framework for integrating the IPTO and project management tools into the interaction between supervisors and Ph.D. students.  The content includes time to work together with your advisor, integrating planning for key decision points related to your Ph.D. project.  In addition, you will be introduce 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 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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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 of this course is to take a practitioners approach to project management focusing on both technical and sociocultural skills.

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

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

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The course provides an introduction to more advanced 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 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.