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of Humanities Job Vacancy Starting: December 1, 2025 Contract Duration: 24 months Employment Type: 100% (TV-L E-13) Your Field of Activity: You will contribute to the MANTRAMS project’s Task Force 2 (TF2), which
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) Analysis of the experimental data, ideally connecting to our machine learning tools Presentation of scientific results on conferences and in publications Requirements PhD degree in physics or chemistry, or
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, paragraph 1 of the Act on Fixed-Term Employment Contracts in Academic (WissZeitVG). Your qualifications: Completed doctorate in economics (or near completion) Background in energy or industrial economics with
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technology. Our pre-studies have shown that full automation is possible in principle when formally verifying systems using reachability analysis. However, our pre-studies also showed that further research is
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basic research with science transfer to the public, the media and policymakers. Since 2009, the PRIF has been a member of the Leibniz Association, a national umbrella organization of outstanding non
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industrial partner and support the overall scientific goals of the project. YOUR PROFILE PhD degree in chemistry, materials science, energy materials, or a related field. Experience with lithium-ion batteries
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common land-use datasets would be advantageous is a plus familiarity with environmental or agricultural economics research is beneficial. We encourage you to apply even if you do not meet every
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the beneficial use of ML in healthcare through research in the foundations of safe ML-systems and the development of protocols and automatic tools for their certification. Therefore, the project is looking for a
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soon hold) a PhD degree in Linguistics or a similar Language Science area are eligible for the role. The ideal candidate for this position has: a solid background in formal linguistics, particularly
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systematic literature review and contribute to other scientific publications Developing a methodology for putting the concept of “regionalization” into practice Conceptualizing, conducting and analyzing semi