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the Institute for Metallic Materials the IFW Dresden offers a Postdoctoral Researcher / PhD Candidate Position (m/f/div) on the following topic: Development of Micro Thermoelectric Devices We are seeking a highly
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. For the working group “Past and Future Earth” (PATH) within the Research Department “Earth System Analysis”, PIK is offering an Early Career Researcher position (PhD or postdoctoral level) (m/f/d) (Position number
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. For the project The Role of the Ocean in Earth System Stability PIK’s Research Department 1 Earth System Analysis, is offering a Scientific Position (PhD or Postdoctoral level) (m/f/d) (Position number: 03-2026
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of attoseconds to femtoseconds. The project will involve working with first principles time dependent density function theory (TD-DFT, as implemented in the Elk code) [1-3]. A background including experience in
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of attoseconds to femtoseconds. The project will involve working with first principles time dependent density function theory (TD-DFT, as implemented in the Elk code) [1-3]. A background including experience in
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of project results analyse climate-induced changes on arctic tundra and related fire regimes by conducting factorial experiments using multiple climate-change scenarios. Requirements: a PhD in biophysical
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the programme’s template Motivation letter Two letters of reference Transcript of records/courses taken during your studies Copy of PhD degree or proof of imminent completion The detailed descriptions
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standards Contribute to outreach activities and activities at the science-policy interface Your profile PhD degree in Ecology, Geography, Environmental Sciences, Environmental Physics or a related field
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determine the associated fitness outcomes. Your Profile PhD in Behavioral Biology or a related field e.g., Cognitive Sciences Experience in conducting observational and experimental studies with wild
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. Disseminate research through high-impact publications and conference presentations. Requirements: PhD (or near completion) in Imaging Science, Computational Biology, Bioinformatics, Machine Learning, Data