PhD Course Management

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This course aims to impart knowledge about and give participants an introduction to and practical experience using artificial intelligence (AI) tools to enhance their scientific and academic writing process.

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The aim of this 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 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 course aims to

  • Provide theoretical background of advanced spatial modelling, analyses and visualization
  • Introduce participants to spatial programming
  • Give participants hands-on experience in advanced spatial analyses and programming with focus on health-related exercises

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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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To give students practical experience in using advanced AI methods for scientific writing tasks; the ability to respond efficiently to reviewer feedback using AI; skills to synthesise multiple scientific papers into a coherent PhD thesis or grant applications; the ability to challenge existing knowledge and develop new ideas using AI.

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To give students practical experience in using advanced AI methods for scientific writing tasks; the ability to respond efficiently to reviewer feedback using AI; skills to synthesise multiple scientific papers into a coherent PhD thesis or grant applications; the ability to challenge existing knowledge and develop new ideas using AI.

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To give students practical experience in using advanced AI methods for scientific writing tasks; the ability to respond efficiently to reviewer feedback using AI; skills to synthesise multiple scientific papers into a coherent PhD thesis or grant applications; the ability to challenge existing knowledge and develop new ideas using AI.

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To give the participants an introduction to Analysis of Variance with focus on repeated measures in experimental studies, and to enable the participants to choose a relevant statistical analysis of own data.

Short description

This course aims to impart knowledge about and give participants an introduction to and practical experience using artificial intelligence (AI) tools to enhance their scientific and academic writing process.

Short description

This course aims to impart knowledge about and give participants an introduction to and practical experience using artificial intelligence (AI) tools to enhance their scientific and academic writing process.

Short description

This course aims to impart knowledge about and give participants an introduction to and practical experience using artificial intelligence (AI) tools to enhance their scientific writing processes.

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The aim of the course is to give a practical and theoretical introduction to immunoassays with focus on quantitative assays (ELISA, TRIFMA). The course will give the participants skills to work with quantitative immunoassays in the laboratory and to troubleshoot in relation the daily routine work.

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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 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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Insulin resistance plays a pivotal factor in the pathogenesis behind dysmetabolic conditions like diabetes and cardiovascular disease. The aim of this course is to introduce state of the art understanding of various aspects of human insulin resistance, and to introduce methods and techniques used to assess insulin resistance and related metabolic parameters in clinical research.

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The course aims to enable the participants to formulate specific review questions; critically appraise, extract and pool quantitative evidence; to critically appraise, extract and pool data generated from qualitative evidence and to pool data generated from both quantitative and qualitative evidence. The course also aims to enable the participants to develop a protocol for a systematic review for submission in e.g., Prospero.

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Epidemiologic measures of occurrence and association, study designs - including macro-epidemiological, cross-sectional, case-control and cohort studies as well as experimental, randomized controlled trials - interpretation and inference, including random error, selection and information bias, confounding and effect modification. A specific session will deal with causation. 

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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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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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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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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. 

Short description

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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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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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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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 onboarding programme will introduce different work tools all relating to the process of initiating and doing a PhD project in the best way possible. These will be introduced through peer-mentoring groups and workshops with different topics. By participating in the onboarding programme the PhD students will be offered an insight into handling ups and downs during their PhD, and how to develop as a young scientist. The onboarding programme will also give the PhD students an opportunity to meet fellow PhD students and expand their network – both socially and academically. Read more here.

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In this workshop, we make the objectives of the PhD education explicit and equip students with strategies and tools to develop as independent scientists. In session 1, we discuss the skills and competences of a PhD – and their importance to society. In session 2, students present their research projects in small, cross-departmental groups and for each project discuss the opportunities for developing independence. Session 3 has a focus on the collaboration with supervisors and presents ways to negotiate roles and address progression during the education.

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At this course you will practice a number of writing tools that will make your daily writing practice more efficient.

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A PhD is a time to submerge into interesting research and exciting new contexts, but it is also a time to tend to your future career. Your PhD is a step towards your next job regardless of your professional background and your thoughts on career direction. This session will aim at encouraging you to build career management skills during your PhD: strengthen your knowledge and understanding of how adding a career perspective to your PhD is beneficial both for your professional development as a researcher and for ensuring that you have the skills, knowledge and experience necessary for your next career step.

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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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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 ensure that the participants can convey and handle responsible research communication of their own PhD project. Through different media channels and via different presentation techniques, the participants will be able to explain and present complex research in an engaging and understandable way to an audience whether it be the general public, journalists, patients, students in a classroom or a foundation’s review committee.

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In the workshop, the participants will clarify the central requirements of their doctoral situation and recognise in which areas there is still catching up to do.

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This course aims to assist and support in navigating the application process for both small and large grant applications - a task that can be particularly challenging for PhD- and research year students.

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

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

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The course will introduce the concepts of Research Data Management, FAIR principles, and Data search. Different aspects and practices related to these concepts will be presented. The lessons will be a mix between theory, class discussions, and hands-on exercises.

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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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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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Welcome to the PhD Course Management

Please make sure to keep your contact email updated so we can send you course information.

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

Graduate School, Arts - PhD Course information

Graduate School Health – PhD Course information

Graduate School of Natural Sciences – PhD Course information

Scientific courses at Graduate School of Natural Sciences

Graduate School of Technical Sciences – PhD Course information

Scientific courses at Graduate School of Technical Sciences

Best regards, 

PhD Administration

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