PhD Course Management

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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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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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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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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.

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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: 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.

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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. A learning diploma is given upon satisfactory completion of the course as well as an e-booklet with the course content.

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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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• 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

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The aim of this course is to train the students’ general and disciplinary writing ability to enhance successful disciplinary writing and editing in conformity with contextual/situational, discoursal and genre- and text-type conventions and requirements of written academic English in natural sciences and technical sciences.

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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 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 PhD course Basic Statistical Analysis.

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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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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 ensure participants are able to apply the Three Rs (reduce, replace, refine) effectively in the design of procedures and projects and make appropriate ethical and scientific judgments. The course is obligatory for persons who wish to achieve a personal license to independently plan, implement and take responsibility for the design and performance of animal experimentation within the European Union according to the EU Directive 2010/63/EU Article 23.2 and the Danish executive order 12 of 07/01/2016, §56.

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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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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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At the end of the course, the participants will be able to build a systematic search strategy and select relevant information sources and search terms. Furthermore, participants will be able to navigate common medical databases and be 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 the PhD student to basic notions of statistical analysis and give an idea of a typical statistical modelling process.

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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 expand participants’ strategies and methods in supervision. 

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The participants obtain theoretical knowledge and practical skills required for development, troubleshoot, and validation of ELISA and TRIFMA assays.

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

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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.