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on innovative sensor solutions across fields like medical diagnostics and food safety. We seek a motivated PhD candidate with a master’s degree in electrochemistry or engineering to join our diverse
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preferences. This PhD position addresses these challenges by developing generative AI models that can produce complete ship designs. Your responsibilities To be able to generate preliminary, regulation
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stochastics group of the Korteweg-de Vries Institute for Mathematics at the University of Amsterdam is inviting applications for a PhD position in mathematical machine learning. The position is part of
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are seeking a highly motivated PhD candidate to join a project focused on
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, and thus the supply decisions, are based on users’ preferences. This PhD position within FlexMobility, will focus on the supply-demand interactions to guide the design of mixed fixed-flexible transport
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results in this field in high-tech domains such as semiconductor machines, together with a highly innovative industrial partner in the Brainport region? Then, this PhD position is made for you! Information
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description Join the Extreme Materials & Mechanics (X2M) Group at the Department of Materials Science and Engineering (MSE), TU Delft, in a cutting-edge PhD project that aims to revolutionize how stainless
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of Economics and Business has available One PhD position in the field of “Industrial Digital Platforms for Digital Product Passports: Legitimacy and Governance” Project description In light of the EU’s ambitious
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Universiteit van Amsterdam, Korteweg - de Vries Institute for Mathematics Position ID: 1729-PHD [#27043] Position Title: Position Location: Amsterdam, Noord-Holland 1091, Netherlands (Kingdom
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assessment on our website about knowledge security. Please do not contact us for unsolicited services Where to apply Website https://www.academictransfer.com/en/jobs/355059/phd-position-semiconductor-mate