75 web-programmer-developer "https:" "https:" "https:" "https:" "https:" "https:" "University of Kent" uni jobs at Technical University of Munich
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to explore and develop AI algorithms, frameworks, and hardware architectures for efficient edge deployment in vehicles, with a focus on neuromorphic computing. You will be part of the scientific TUM HN Team
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researchers in their programming tasks, perform scientific software engineering, and generate specific application programming interfaces Develop and monitor data harmonization within the cluster (in
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energy use more efficient. We develop new optimization methods, machine learning algorithms, and prototypical energy management systems (EMS) controlling complex energy systems like buildings, electricity
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researchers in their programming tasks, perform scientific software engineering, and generate specific application programming interfaces Develop and monitor data harmonization within the cluster (in
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, specifically on Marginal Zone (MZ) B cells. Project Overview: The successful candidate will contribute to an NIH-funded project aimed at understanding the development and maintenance of Marginal Zone B cells
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Center TranslaTUM, which integrate bioengineering with metabolic disorders and oncology, respectively. IBMI scientists develop next-generation imaging and sensing methods to measure previously inaccessible
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evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine
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, transcriptomes and epigenomes at an unprecedented level of resolution. To harness the full potential of these developments, new computational methods specifically tailored towards the analysis of single-cell omics
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of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning
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efficient. We develop new optimization methods, machine learning algorithms, and prototypical systems controlling complex energy systems like electric grids and thermal systems for a sustainable future. These