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provides the possibility to enrol as PhD candidate according to the applicable rules for doctoral students at Heidelberg University. The research fellow will work under the guidance of Prof. Stefan Listl and
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. The position provides the possibility to enrol as PhD candidate according to the applicable rules for doctoral students at Heidelberg University. The researcher will work under the guidance of Prof. Stefan Listl
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, focusing on the contribution of nephrocytes and oenocytes to the lipid composition in the circulation. Your Profile The successful applicant will have good communication and organisational skills and a PhD
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at the chair of computer architecture for a duration of 2 years with the possibility of extension for up to 6 years. You will be working with PhD students in the group working on various aspects and levels of in
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) Sharing your experience with the PhD Students in a one-day workshop on “Writing on conflicts and enmity” Holding an internal colloquium on your topic or on the interface between journalism and research
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: generation of proxy data Publication of the results in an international peer-reviewed journal, participation at conferences Your profile: PhD in geosciences or a closely related discipline Strong background in
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, medical technologies, and novel applications of AI approaches in health and life science research. Candidates must hold a PhD, MD or MD/PhD degree at project start. Interinstitutional Postdoctoral Positions
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to manage and initiate cooperative projects PhD degree in analytical, biological, food chemistry, biochemistry, biotechnology, pharmacy or comparable natural science discipline Scientific publishing
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meetings and Policy Dialogues Your Profile PhD in a discipline (e.g. epidemiology, public health, sociology) with exposure to food systems (ideally European) Experience in conducting systematic searches and
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team scientists with different backgrounds and expertise Prerequisites PhD in food systems, epidemiology or public health Experience in co-designing and testing solutions using mixed-methods Training and