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fundamental discoveries in biology and medicine as well as several Nobel Laureates. Become part of our community! In Prof. Torsten Schwede's group, we use computational methods, with a strong focus on
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. You'll work at the exciting intersection of experimental materials science and materials informatics, collaborating with CSEM and EPFL in a Swiss National Science Foundation (SNF) Bridge Project. Your
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INSAIT - The Institute for Computer Science, Artificial Intelligence, and Technology, INSAIT Position ID: INSAIT -INSAIT -POSTDOC [#28768] Position Title: Position Type: Postdoctoral Position
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoc position for the development of metal
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close collaboration with electrical engineers and neurobiologists. A broad spectrum of state-of-the art engineering and testing equipment, software and computers, as well as cell-culture and biological
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analytics projects Mentor graduate students and supervise research activities Required Qualifications PhD in Computer Science, Data Science, or related fields Strong background in blockchain data collection
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Qualifications PhD in Computer Science, Software Engineering, FinTech Strong programming skills in Solidity and other smart contract languages Experience with blockchain platforms and development tools Proven
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Position Start Date: As soon as possible Application Deadline: Open Until Filled Job Categories: Postdoc Position Contact: fernando.porte-agel@epfl.ch Description: The Wind Engineering and Renewable
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motivated postdoc with expertise in molecular and cellular biology, mammalian blood stem and progenitor cell purification, culture and manipulation, and advanced imaging to join our interdisciplinary team
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100%, Zurich, fixed-term The Robotic Materials group is looking for a highly motivated postdoc for the topic of soft optical sensory skin. The Robotic Materials group headed by Prof. Hedan Bai