403 phd-studenship-in-computer-vision-and-machine-learning PhD positions in Netherlands
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30 Aug 2025 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Computer science » Cybernetics Computer science » Programming Mathematics » Algebra
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. The mission of the ICS is twofold: 1. PhD students: ICS strives to recruit the most talented PhD students and train them to become excellent independent social scientists. 2. Common research program: To fulfil
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admitted to a doctoral programme at the UvA. This is what else we offer you We offer a temporary employment contract for the period of 54 months. This is longer than the usual four-year appointment for a PhD
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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 The PhD positions Press forming of thermoplastic composites Press forming is
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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 The Erasmus School of History, Culture, and Communication (ESHCC) at Erasmus
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description Consortium This PhD position is part of
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Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Do you want to help accelerate the energy transition
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fixed year-end bonus of 8.3%; excellent pension scheme. In addition to these first-rate employee benefits, you will receive a fully funded PhD position and you will be offered a course program tailored to
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to make viable trading decisions under high price volatility. This PhD position focuses on designing, developing, and evaluating self-learning energy trading algorithms that are able to cope with