72 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Technical University of Munich
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on the 1D or analytical model) Hybrid simulation approach (e.g., which combine CFD and 1D simulations) High Performance Computing and/or GPU programming for this domain Machine learning algorithms
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for this position, the candidate should possess in-depth skills in programming and hands-on training and evaluating machine-learning models. Expertise in in the field of Building Information Modelling and geometric
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/MSc degree in bioinformatics, computer science, mathematics, life sciences - background in Machine Learning and/or RNAseq analysis - interest in biological applications - passion for science and
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-year bachelor’s degree in chemistry, chemical engineering or adjacent areas - High motivation and joy to learn about chemistry and chemical engineering - Strong commitment to solve some of the most
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stimulating environment and gain international exposure through our partners and collaborators across Europe and the world. We support career development, continued education, and life-long learning. Situated
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lifecycle. You will be based in the Professorship for Urban Productive Ecosystems (PI: Monika Egerer) at the Technical University of Munich in Freising, Germany. Visit www.upe-lab.de to learn more about the
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Exciting work in an international environment and in a very well-equipped workplace Diverse further education opportunities (TUM Institute for LifeLong Learning, TUM Language Center) TUM health offers, TUM
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models for LLMs, examine the LLMs' regulatory landscape, and translate the lessons learned into legal recommendations, practical guidelines, and toolkits to ensure ethical, legal, and technical alignment
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constraints Placement & Routing for technology-independent layout generation Clocking and data synchronization Layout validation and verification Technology mapping and optimization To learn more about the
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). The successful candidates will have the opportunity to learn a wide spectrum of genetic, molecular and cell biology, biochemical as well as immunological techniques. They will be exposed to cutting edge methods