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ranges from core areas of computer science and electronics over medical applications to societal aspects of AI. SECAI’s main research focus areas are: Composite AI: How can machine learning and symbolic AI
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are particularly important to us. Gender equality is an important aspect for us. You will benefit from our family-friendly and collegial atmosphere, our established health management and occupational pension
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company free assistance program for employees (EAP) Corporate benefits a varied offer in the canteen on campus Severely disabled persons and those equaling severely disabled persons who are equally suitable
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for a PhD student to join our team and help us make exciting new advances in applications of machine learning (ML) strategies for analyzing X-ray and neutron scattering data! You will be working in a
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required assist with the project-related supervision of research students in the research area where required Requirements: have a university degree in a relevant field, e.g., transportation engineering
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opportunities for health promotion About the institute: As a member of the Leibniz Association, the Leibniz Institute of Plant Biochemistry (IPB) is a non-university research institution on the Weinberg Campus in
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Investigators: Dr.-Ing. habil. Judith Rosenow, Chair of Air Transport Technology and Logistics and co-supervised by at least one additional professor plus an international tutor of the RTG
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at LMU Munich. Professors from German and English didactics, as well as didactics of Romance and Classical Languages, represent a broad spectrum of theoretical positions, research methodologies, and
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and aims at obtaining further academic qualification (usually PhD). We are looking for an outstanding candidate to help us on our mission to develop novel “precision tools” to understand the role
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will be required. A read of publications on Renewable Energy Powered Membrane Systems will assist preparations!