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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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: graph neural networks, natural language processing, algorithmic learning, fault-tolerance, blockchains, consensus, cryptocurrencies, digital money, central bank digital currency, decentralized finance
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subsurface mass and energy transfer processes as well as related power plant processes. We conduct both fundamental and applied research to address a wide range of societal concerns related to geothermal
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, Information Technology, Information Systems, Statistics, Data Science, Engineering, or a related field Strong machine learning and programming experience with the ability to work across frontend, backend, and embedded
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https://www.biozentrum.unibas.ch/bumann tackles these challenges by analyzing patient biopsies using advanced imaging techniques and mass spectrometry. The post-docs will lead projects investigating how
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complete by fall 2025) a PhD in engineering, have a strong technical background, and be proficient in programming. We welcome applications from researchers fresh out of their PhD or with up to one year of
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-relevant research challenges such as controlling high precision production machines, optimizing machine tools, or conceiving sustainable manufacturing processes. This position is envisaged to be part of
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-biodegradable polymers. Your profile Master Degree or PhD in environmental/natural sciences or engineering or similar Experience with development of computational models Preferably some experience with plastics
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over 1'400 PhD students & post-docs. Our mission is to amplify human potential by fostering breakthrough ideas with interdisciplinary AI research and enabling the path from science to society. We strive
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. Within this field, we are continuously developing and adopting various algorithms for multiple applications such as automating quality control, detecting process deviations and finally predicting