34 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Leibniz in Germany
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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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completed university degree and a completed PhD in linguistics (or a related social science relevant to the topic of the project) Very good knowledge of conversation analysis, interactional linguistics, and
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). The empirical research should capture and analyze teaching and learning processes, for example by video analysis or eye-tracking. Development activities for instance may include AI tools, the creation
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of results in scientific journals Requirements: PhD in Physics, Engineering, Economics, Environmental Sciences, Mathematics, System Sciences or a related field training in formal, quantitative methods
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Family-friendly working conditions (certificate “audit berufundfamilie”) Supporting of mobility with a jobticket for using the public transport Easy accessibility by public transport or car (including free
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other actors conduct workshops with canteen cooks and farmers in collaboration with project partners Your qualifications: PhD degree in agricultural sciences, e.g. with a focus in agronomy, agro-ecology
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Physical Oceanography and Instrumentation, Marine Chemistry, Biological Oceanography, Marine Geosciences, and Marine Observations works interdisciplinary within a joint research program. What will be your
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within an interdisciplinary research team Your Qualifications: University degree (PhD, M.D., or equivalent) in Biology, Life Sciences, or Biomedicine Strong motivation and a genuine interest in stem cell
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other actors conduct workshops with canteen cooks and farmers in collaboration with project partners Your qualifications: PhD degree in agricultural sciences, e.g. with a focus in agronomy, agro-ecology
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, Environmental Sciences, Computer Sciences Proven experience in financial economics, financial risk assessment as well and in climate and ESG ris Interest to work at the interface between research and policy, and