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 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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The course focus is on 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). Methods included are: X-ray, DXA, Radiostereometry, CT, Cone Beam CT, HRpQCT, mCT, Dynamic NaF PET, MRI, Musculoskeletal modeling (AnyBody Modeling System), 3D printing and surgical guides, and Augmented reality. 

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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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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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 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 this PhD course is to familiarise students with the principles, pipelines, and coding involved in the analysis of single cell/spatial RNAseq data. These skills can be applied to the study of transcriptomics at single-cell and spatially resolved resolutions.

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The aim of the course is to gain skills in Rhetoric of Science and reflection in order to improve academic and research presentations.

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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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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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To create a framework for integrating  project management tools into the interaction between supervisors and Ph.D. students.  The content includes time to reflect on meta-communication strategies to discuss your work together with your supervisors. This includes integrating planning for key decision points related to your Ph.D. project.  In addition, you will be introduced to the PDCA framework, which stands for Plan-Do-Check-Act.  This framework will be used to reflect on how to optimize your independent work through Plan-Do; and your work with others through Check-Act.

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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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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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The aim is to give the participants an overview of basic fluorescence microscopy techniques, sample preparation, image acquisition and imaging analysis.

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Take a deep dive into a complex, real-life case from the biotech company Roche. Challenge yourself - as part of a multi-skilled team - to generate and validate ideas that can serve as the best solution to the company’s challenge.

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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 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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To give the participants understanding of the basic principles in 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 designated as 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 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 aim of this course is to introduce frameworks for designing public health interventions. Including developing skills to work with program theory and logic models. Socio-ecological models of health will form the basis of the course. The course will include basic introduction to evaluating, with a subsequent additional course in evaluation of complex interventions (March 2024).

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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!

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Participants will acquire a science-based, theoretical understanding for and basic skills in applying different methods for the purpose of producing empirical material.

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To present participants a state-of-the-art overview of key concepts and applications within all areas of basic and clinical neuroscience.

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Mandatory for main supervisors

The quality of PhD students’ education is partly dependent on the PhD supervisor’s competencies as a supervisor. The aim of this course in PhD supervision is to expand the participants’ repertoire of supervision strategies and methods 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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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 course objective is to strengthen your teaching skills and competences as a PhD student. The course provides guidance and inspiration for planning your teaching within science and technology disciplines based on principles for student-centered learning. During the course you will get hands-on experience with teaching techniques and technologies to enhance students’ active participation and learning. In collaboration with peers you will learn to apply tools to identify and find solutions for challenges in your own teaching and you will train your teaching skills by applying new teaching techniques and technologies in your own teaching and observing others.

The course addresses both traditional and online teaching, and you will have the opportunity to specialize in the type of teaching which is most relevant for you.

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

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The aim of the course is to give the participants knowledge on best practice procedures when using the pig as an animal model in preclinical science. The students will learn more about ethics and the 3Rs. The course will furthermore draw attention to the importance of anaesthesia and analgesia and the participants will gain hands-on experience performing general surgical procedures. There will be lectures on regulatory requirements and application procedures. 

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The aim of the course is to gain skills in Rhetoric of Science and reflection in order to improve academic and research presentations.

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

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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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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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To expand participants’ strategies and methods in supervision. 

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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 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 aim of the course is to give students the knowledge and the skills to carry out a meta-analysis. Meta- analyses are a prerequisite for a final compilation of results of several types of systematic reviews. Without this skill, it is impossible to finalize the review and interpret the results in order to provide a basis for clinical guidelines.

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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 the course is to introduce the student to machine learning techniques and enable the student to apply these methods to analyze complex data sets as typically encountered in modern research. The student will achieve an understanding of the theoretical background of supervised- and unsupervised machine learning techniques and will gain practical experience in applying these techniques in real-world data analysis.