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PyTorch, along with a solid understanding of modern neural network architectures and techniques. You are experienced in conducting independent research and highly motivated to develop methodologies
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, a small but vibrant city with a rich industrial heritage within easy reach of the beautiful forests and lakes of Östergötland. You will work within the Functional π-Materials group, led by Assistant
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Experience4 - 10 Additional Information Work Location(s) Number of offers available1Company/InstituteLinköping UniversityCountrySwedenCityNorrköpingPostal Code60174StreetBredgatan 33 Contact City Norrköping
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/InstituteLinköping UniversityCountrySwedenCityLinköpingPostal Code58183StreetIFM, Linkoping University Contact City Linköping Street IFM, Linkoping University Postal Code 58183 STATUS: EXPIRED X (formerly Twitter