PhD Course Management

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The aim of this course is to introduce and discuss basic philosophy of science. Hence, the course introduces and discuss’ the concepts of ontology, epistemology, and methodology in order to answer the questions of what research is and what counts as research-based knowledge. 

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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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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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Learning outcome: Upon completion of the course, participants can be expected to have an understanding of:

  1. The role of key brain areas such as the amygdala and cerebral cortex in brain function. This includes learning, spatial and fear memory, motor behaviour.
  2. Neuronal development and connectivity.
  3. Neuronal communication, synaptic transmission and plasticity.
  4. Neuron types and in silico modelling of neuronal networks.
  5. Altered neuronal function and connectivity in neurological and psychiatric disorders.

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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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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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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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By the end of the course, the participants are able to:

  • Discuss and reflect on requirements and responsibilities of different supervisor and co-supervisor roles,
  • Provide feedback to undergraduate students’ written or oral presentation in a way that facilitate the undergraduate students’ learning process, and
  • Acquire knowledge about undergraduate students’ expectations and interests in order to balance supervisor’s control and undergraduate students’ own control of their projects

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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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The aim of the course is 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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The aim 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 objective of this course is to introduce participants to the principles and practice of writing scientific publications and of scientific communication. The main emphasis is on the most common form, the “primary scientific paper”, but other forms will be covered. Matters related to oral presentations, poster preparation and proposal writing will also be discussed. Participants will become familiar with the forms of presenting new findings to various scientific forums.

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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.
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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  • Provide overview of types of outreach and their link to different audience types with different aims
  • Provide tools and strategies for delivering outreach to different audience types
  • Apply knowledge to create and host an outreach event

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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

Short description

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

Short description

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

Short description

By the end of the course, the participant will be able to:

Identify and apply methodologies in computer-based teaching
Apply rhetoric Skills for preparing and delivering research presentations
Use reflective skills in evaluating performance in presenting and teaching at university level
Produce and present effective scientific posters
Apply tools for giving and receiving feedback

Short description

  • Providing junior researchers with a general introduction to research integrity and responsible conduct of research
  • Enabling junior researchers to reflect on issues concerning integrity and responsibility in relation to their own research

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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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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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Understand the basic approaches to writing and structuring a talk

  • Outline and develop a talk for a specific audience
  • Receive feedback and integrate into a new draft

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The aim of this course is to introduce the concept of PP and acquire participants a science- and theory-based understanding of PPI. The course will increase the participants’ ability to identify and increase the value of PPI in health research by suggesting how PPI could optimally be a part of their own study and which implications would be important for practice.

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The objective of the course is to take a practitioners approach to project management focusing on both technical and sociocultural skills.

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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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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.

Short description

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 of the course is to provide students with an overview on concepts of personalised medicine. The course will be a combination of interactive lectures and group work. Students are not required to complete an exam at the end of the course.

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The course will introduce the student to both the basic and more advanced methods to describe and predict prognosis for a group of patients. Subsequently, the student should be able to use the methods in relation to own data.

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By the end of the course the student will have: 

  • Insight into study designs in nutritional epidemiology
  • Insight into design and conduct of nutritional epidemiological studies
  • Insight into strategies for analyses of nutritional epidemiological data
  • Ability to evaluate nutritional epidemiological studies

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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, Generalized Linear Mixed Models and simple Multivariate Generalized Linear Mixed Models).

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Contents:  Introduction to mindfulness

    • The history of modern mindfulness practices – from Buddhism to modern science and healthcare
    • Methods of modern mindfulness practice
    • The neurobiology of stress and stress reduction
    • Mindfulness-based therapy
    • State of the art cognitive and affective neuroscience on mindfulness
    • Future directions and closing debate

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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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The participants should obtain a basic knowledge of linear normal and binary regression methods as applied within health science.

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The aim of the course 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, either by carrying out procedures on animals (EU category A) or euthanize animals (EU category D). The course is designatedas 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 purpose of the course is to give participants an introduction to clinimetric testing of questionnaires.

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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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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 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 course Basic Statistical Analysis for Life and Environmental Sciences.

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This course aims to provide participants with an introduction to Quantitative Bias Analysis. A compilation of bias analysis methods for use with epidemiologic data will be introduced, including methods for corrections to address selection bias, uncontrolled confounding, and classification errors, as well as methods to quantify different sources of biases simultaneously. 

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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 educate participants about different image diagnostic methods and their potential for research and clinical investigation of the human body/musculoskeletal system including baseline knowledge on their advantages/limitations and risks (radiation physics, protection and doses/risks).

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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.

Short description

The objective of the course is to give an introduction to key health economics concepts and methods for economic evaluation of health related interventions, to put the participants in a position to critically assess the quality of economic evaluations of health care interventions and to enable participants to undertake economic evaluations.

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The aim of the course is to achieve knowledge on data documentation, basic statistical tests and the assumptions for performing these tests.

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The aim of the course is to achieve knowledge on data documentation, basic statistical tests and the assumptions for performing these tests.

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Upon completion of the course, the participant will be able to:

  • Describe the theory and methodologies of digital competences
  • Describe introductory elements of Health and eHealth solutions for patients
  • Use tools to evaluate i.e. apps and web resources
  • Discuss staging and performing computational thinking at university level
  • Reflect on own knowledge, use and application of digital competences

Short description

  • Theoretical assessment of effects of gene variations
  • Protein structure, folding and trafficking and their disturbances in diseases
  • Methods for experimental investigations of effects of gene variations
  • Design and interpretation of cellular and in vitro experiments
  • Exercising and developing skills for communicating scientific knowledge

Short description

The aim of the course is to lay the conceptual foundation with which the student may begin to apply data-driven research practices, and to support her advancement to more specialised topics such as C119: "Stata and Datadocumentation" and C171: "Introduction to MATLAB in Neuroimaging".

Short description

To expand participants’ strategies and methods in supervision.

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Welcome to the PhD Course Management

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For more information regarding specific faculty course rules and regulations, please visit the following websites:

Graduate School Health – PhD Course information

Graduate School of Natural Sciences – PhD Course information

Graduate School of Technical Sciences – PhD Course information

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