PhD Course Management

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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 introduce the student to the basic use of the programming language Python. The course is designed to build up the basic skills in Python necessary for attending the course Basic Data Science in Python.

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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.

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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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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 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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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 the PhD student to basic notions of statistical analysis and give an idea of a typical statistical modelling process.

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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 this course is to equip students with a strategy to write efficiently and the tools they need to deliver a high quality, high impact scientific paper. It is designed in a workshop style and as a condensed version of the Science Writing and Communication course, focusing on how to write.

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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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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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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.

Short description

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.

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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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.

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

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.

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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