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at international conferences and within collaborative networks Profile PhD in Computer Science, Bioinformatics, Biomedical Engineering, Applied Mathematics, or a related field Proven expertise in image analysis (e.g
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-electron interaction types. Profile A PhD in Computational Materials Physics or a related area is required. Experience with electronic structure calculations, including writing computer code, is essential
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. Profile PhD degree in Mechanical Engineering, Electrical Engineering, Materials Science or related field from a top-notch university Productive candidates with outstanding publication records in stretchable
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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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100%, Singapore, fixed-term ETH Zurich is one of the leading universities of the world with a strong focus on science and engineering. In 2010 it established the Singapore-ETH Centre (SEC) in
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PhD in Computational Materials Physics or a related area is required. Experience with electronic structure calculations is essential. Familiarity with the use of machine-learning tools in materials
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apply for third party funding. Contributions to teaching within the Engineering Geology group are also expected. Profile PhD in Data Science, Computer Science, Mechatronics, Remote Sensing, Engineering
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modelling and/or empirical analysis. The research will ideally combine insights from economics and e.g. computer science. Profile Applicants should hold a PhD in Economics with a strong economic basis and
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progress Profile Required PhD in Computer Science with the focus on AI Proficiency in python programming Strong expertise in machine learning and deep learning frameworks (especially PyTorch) Demonstrated
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qualifications with a PhD in physics, electrical engineering, materials science or a related subject, and a background in magnetic thin films, nanostructures and spintronics. You should be motivated, proactive and