PhD Course Management

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COURSE CANCELLED

The purpose of the course is to give participants in-depth knowledge of clinimetric testing of questionnaires.

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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 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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EXTENDED DEADLINE 19 OCTOBER

The course provides practical knowledge of advanced flow cytometry directly related to specific examples of research questions and aims to provide a broad understanding of how to design a multicolor flow cytometry experiment, how to handle sample material, how to analyze and present flow cytometry data for publication.

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The aim of the course is to give students a greater understanding of the R language for them to produce more clean, sophisticated and efficient R code, and also make them adopt better practices and learn more about packages and tools that will simplify their life when coding in R.

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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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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.

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THE COURSE WILL BE HELD ONLINE

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.

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

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THE COURSE WILL BE HELD ONLINE

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.

The course provides an introduction to more advanced statistical models and analyzes in medical research.

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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 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 is to apply Bayesian statistics in the analysis of biological or clinical data.

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COURSE CANCELLED

To introduce PhD students to the basic concepts, methods and issues in meta-analyses and systematic reviews. The course is offered as part of the graduate program in clinical medicine, so the focus will be on epidemiological studies.

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COURSE CANCELLED

Introduction to structural, physiological, and molecular biological organization of key brain areas (e.g., amygdala, hippocampus, cortex, spinal cord). Characterize their involvement during the normal brain functions and their alterations occurring in neurological/psychiatric disorders.

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Introduction to REDCap (eCapture) and, more elaborate, to the statistical package: Stata, and its use in a well-structured and fully documented data handling process. It is highly recommended to take the course before the course in basic biostatistics.

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Introduction to REDCap (eCapture) and, more elaborate, to the statistical package: Stata, and its use in a well-structured and fully documented data handling process. It is highly recommended to take the course before the course in basic biostatistics.

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Introduction to REDCap (eCapture) and, more elaborate, to the statistical package: Stata, and its use in a well-structured and fully documented data handling process. It is highly recommended to take the course before the course in basic biostatistics.

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The aim of this course is to introduce frameworks for designing public health interventions targeted health behavior. The course will include basic introduction to evaluating, with a subsequent additional course in evaluation of complex interventions (spring 2021). Socio-ecological models of health will form the basis of the course.

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The aim is to teach basic epidemiologic study designs, measures of occurrence and association and interpretation and inference. Please see teaching objectives for details.

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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 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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COURSE CANCELLED

This course aims to take on three important and interrelated topics of 21 century healthcare: Digital competences, m- and eHealth, Computational thinking. However, how do you define and identify relevant digital competences for the health professional individuals? The technological development and digitalization is changing the foundation of healthcare and demands novel modern competences of the professionals. This course will initiate continuous educational focus of health professionals in developing the knowledge, use and application of own digital competences.

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To achieve basic knowledge on data documentation, basic statistical tests and the assumptions for performing these tests. The course is meant for students with none or very little experience within statistics.

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The aim 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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The aim of this course is to improve the participants’ chances of publishing the results of their research in international peer-reviewed scientific journals.

In order to apply for course participation, you must:

  1. Sign up for the course via the Course Calendar
  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 the abstract and the 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 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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Participants will learn about key Danish national registers and how to use them for research purposes, through a combination of lectures, short research presentations with examples, discussions and exercises. This course will provide participants the necessary knowledge and skills to start their own research project based on national registers and cohorts.

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

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This course is intended for academic researchers, who are about to conduct or are actively involved in a Clinical Trial with a Medicinal product. Focus will be on the practical aspects on how to comply with the principles of Good Clinical Practice (GCP) and requirements in the national regulations for these types of trials.

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The aim is to give the participants understanding of the basic principles laboratory animal science. The course is obligatory for persons, who wish to participate in research using laboratory animals. The course is a function A/D course according to the EU Directive 2010/63 /EU Article 23.2 (previously designated 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 participants should obtain a basic knowledge of linear normal and binary regression methods as applied within health science.

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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.

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COURSE CANCELLED

The aim of the course is to increase your personal and professional success by learning how to lead yourself

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Mandatory for main supervisors.

The quality of PhD students’ education is largely dependent on the PhD supervisor’s competencies as a supervisor. The aim of the basic course in PhD supervision is to expand the participants’ repertoire of supervision strategies and methods in order to provide a flexible approach to supervision, strengthen their reflections on practices, roles and relationships in the supervision process, and share experiences and new knowledge for advancing PhD supervisors’ competencies.

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The aim is to support PhD students in their career decision-making process by increasing their career awareness, and to prepare them for the transition between academia and industry/public sector jobs.

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COURSE CANCELLED

The aim of the course is to introduce and work with project management tools useful during and after a PhD.

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COURSE CANCELLED

The course aims to provide students with the skills necessary to critically use the qualitative software programme NVivo 12 and to train the students in using NVivo 12 to organise and analyse different types of qualitative data.

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COURSE CANCELLED

The objective of this PhD course to familiarise participants to modern statistical methods for analyses of exposure data, in order to improve exposure effect analyses in occupational and environmental epidemiological studies. The goal is to train the participants, so they are able to evaluate literature on the topic and to perform basal analyses themselves after the course.

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To train the technological, the rhetorical and the reflection skills to benefit both research presentation and large class- teaching.

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The aim is to introduce PhD students at Health, Aarhus University to the principles of responsible conduct of research and how to avoid scientific misconduct.

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The aim is to introduce PhD students at Health, Aarhus University to the principles of responsible conduct of research and how to avoid scientific misconduct.

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The aim of the course is to introduce PhD students at Health, Aarhus University to the principles of responsible conduct of research and how to avoid scientific misconduct.

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To enable the participants to assess the relevance, strengths and weaknesses of different search methods. To enable the participants to build a search strategy and select relevant information sources and search terms. To make the participants familiar with the concept of reference management software in general and EndNote in particular.

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As a part of their teaching responsibilities, PhD-students sometimes supervise undergraduate students. 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 to act as co-supervisors on bachelor and master students assignments and/or learning processes.

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Extended application deadline 19 October 2020

The course blends online with face-to-face teaching and is about the role of the teacher in student-centred teaching. Upon completion of the blended learning course, participants will have acquired knowledge, skills and competences on pedagogical principles pertaining to being a university teacher who can reflect on his/her own and colleagues’ teaching practice. Participants will during the course develop and complete first draft of a personal teaching portfolio on teaching qualifications that can be used in appointments for future academic positions. Furthermore, they will acquire knowledge about strategies to evaluate teaching with the aim of applying a student-centred approach in teaching and creating alignment between the different elements and phases of teaching.

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

The Graduate School of Health wishes to welcome all newly enrolled PhD students to the PhD programme, and to give PhD students 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 Health, Aarhus University.

The Graduate School of Health wishes to welcome all newly enrolled PhD students to the PhD programme, and to give PhD students the opportunity to meet and interact with fellow PhD students and AU representatives from fields relevant during the PhD programme.

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Welcome to the PhD Course Management

Please be aware of the following:

  • Spring semester courses are announced on 30 November 2020 at 10:00.
  • Cancellations are accepted up to two weeks before course start.
  • Enrolment in courses are binding after last cancellation deadline. In case of non-attendance, not pre-approved by course administrator, a fee corresponding to the actual course fee will be charged. Exceptions to this rule.
  • Exceedance of 35 ECTS in the Course Catalogue will implicate that courses no longer are free of charge for PhD students.

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