PhD Course Management

Short description

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 purpose of the course is to give participants in-depth knowledge of clinimetric testing of questionnaires and how to interpret relevant statistical output.

Short description

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.

Short description

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.

Short description

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.

Short description

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.

Short description

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.

Short description

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

Short description

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.

Short description

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.

Short description

The course is designed to strengthen participants’ understanding of R as a programming language and to support the development of efficient, reproducible, and well-structured code. The focus is on programming skills, workflow management, and the use of tools and packages that streamline coding and reporting.

The course does NOT cover statistical methods.

Short description

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.

Short description

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.

Short description

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.

Short description

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.

Short description

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.

Short description

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.

Short description

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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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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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 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 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 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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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.

Short description

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

Short description

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.

Short description

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.

Short description

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.

Short description

The aim of the course is to introduce the PhD student to basic tasks, methods and evaluation procedures in data science, using Python and its libraries and environments.

Short description

The course introduces participants to R and RStudio as tools for data management, basic programming, and data visualisation. It aims to provide the fundamental skills needed to write clear and reproducible R scripts, handle common data structures, and perform simple descriptive and graphical analyses. The course focuses on programming principles and reproducible workflows rather than statistical theory.

Short description

Doctoral students can be stressed, and many experience a need for more productivity. Using simple tools and establishing good writing habits can make the PhD and the research process more enjoyable and rewarding. The writing workshop focuses on you and your challenges; you have time to write your own text. Please bring your computer and a text that you are writing on at the moment!

Short description

Doctoral  students can be stressed, and many experience a need for more productivity. Using simple tools and establishing good writing habits can make the PhD and the research process more enjoyable and rewarding. The writing workshop focuses on you and your challenges; you have time to write your own text. Please bring your computer and a text that you are writing on at the moment!

Short description

Doctoral students can be stressed, and many experience a need for more productivity. Using simple tools and establishing good writing habits can make the PhD and the research process more enjoyable and rewarding. The writing workshop focuses on you and your challenges; you have time to write your own text. Please bring your computer and a text that you are writing on at the moment!

Short description

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To provide students with an overview on how to take a research idea through to implementing, analysing, and interpreting an epidemiologic study using the Danish Clinical Cancer Databases, and Denmark’s 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 from the clinical cancer databases. Students are not required to complete an exam at the end of the course.

Short description

The course will provide didactic and plenum discussions on cancer diseases and research. The theoretical lectures will include insight into the disease, methodology for research, progression to clinical trials, and common errors that hamper project development. The course will have a strong focus on the progression of a project from basic research to clinical application. Furthermore, students are asked to present their projects, including a critical perspective and applied new possibilities for the projects to reach a higher impact of their work.

 

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Provide an overview of the different aspects of conducting clinical research

Short description

The course aims to enable the participants to formulate specific review questions; to map key concepts using scoping review, to critically appraise, extract and pool quantitative evidence; to critically appraise, extract and pool data generated from quantitative data and qualitative data respectively 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

Short description

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. 

Short description

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.

Short description

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. 

Short description

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

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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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