211 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Technical University of Munich
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University of Munich is one of the largest production technology institutes in Germany. Main topics include production and logistics, machine tools, assembly technology and robotics, battery production
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biomolecular structure, dynamics, and interactions in complex environments and live mammalian cells. By combining ultra-high-field NMR with complementary biochemical, computational, and cellular approaches
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. To this end, methods are first to be developed and established. Your Profile You ideally bring the following with you: • Excellent master's degree in food chemistry, food technology, biochemistry, biophysics
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guidelines into formal ontologies and knowledge graphs Design and develop modules for Medical Informatics Initiative (MII)/FHIR interoperability of the research prototype Work closely with clinicians and data
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interoperability with Medical Informatics Initiative (MII)/FHIR standards Design and implement methodological concepts and software for benchmarking frameworks for AI evaluation Independently develop and implement
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of distributed computing, machine learning, image and text analysis, randomized data structures, high-performance computing, and quantum algorithms. Beyond this research, we aim to support computational thinking
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pollinators (https://cordis.europa.eu/project/id/101219108). About us: Our group at TUM’s Soil Biophysics and Environmental Systems Professorship embraces a holistic, interdisciplinary approach to soil research
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academic assignments at the chair What we look for in you Completed master’s degree in computer science, transportation, or related engineering fields Solid background in generative AI, machine learning, and
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18.09.2024, Wissenschaftliches Personal We have several 𝐏𝐡𝐃 & 𝐏𝐨𝐬𝐭𝐃𝐨𝐜 𝐨𝐩𝐞𝐧𝐢𝐧𝐠𝐬 in our Visual Computing & AI Lab in Munich! Topics have a strong focus on GenAI, including 3DGs
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levels, - policy design and impact analysis, - resource allocation, growth and welfare evaluation, - technology diffusion and firm level innovation. leading to an internationally competitive PhD degree and