PhD Course Management

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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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Half-way in your PhD, you now know what being a PhD student really is about. It is also a turning point where questions such as “what options do I have”, “how can I make the most of my doctoral degree” and  “how do I make a sensible choice for my future career “ may start to pop up and cause both excitement and concern. This workshop aims at giving you the tools to answer those questions and to support you in being able to make an informed choice for the next step in your career. In the workshop, you will consider 1. your professional development so far and whether there competences you would like to improve during your part b, and 2. How you can start preparing for the transition by building your network, understanding your options and increasing your awareness of what a “good” job/work life is to you.

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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 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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To support PhD students in their career decision-making process by increasing their career awareness, and to prepare them for the transition between academia and industry/public sector jobs.

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

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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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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 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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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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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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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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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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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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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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To introduce the concept of patient and public involvement in health research and acquire participants a science- and theory-based understanding of patient and public involvement in health research. The course will increase the participants’ ability to identify and increase the value of patient and public involvement in health research by suggesting how patient and public involvement in health research could optimally be a part of their own study and which implications would be important for practice.

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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 create a framework for integrating project management tools into work habits for Ph.D. students to help them stay on track or get back on track in the second half of the PhD process.  The content includes time to reflect on bottlenecks and scheduling needs related to completing your Ph.D. project on time.  In addition, you will be introduced to risk analysis tools and Kanban boards.

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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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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 PhD course is to familiarise students with the principles, pipelines, and coding involved in the analysis of single-cell RNA sequencing data. These skills can be applied to the study of transcriptomics at single-cell resolution.

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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 PhD students.

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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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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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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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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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To expand participants’ strategies and methods in supervision. 

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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. 

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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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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To expand participants’ strategies and methods in supervision. 

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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. 

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. 

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.