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Field
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Do you want to be part of an industry-oriented project and work on flexibility estimation from industrial sites? The envisioned research is part of the research program Intelligent Energy Systems
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, Computer Science, Applied Mathematics or another relevant subject. Good Python programming skills. Knowledge of data science. Experience with artificial intelligence and machine learning. A good command of
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/phd-in-connectomics-analysis-of… Requirements Specific Requirements MSc in any of the of the following fields: Neuroscience, Mathematics, Physics, Artificial Intelligence, Informatics (webdevelopment
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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 Would you love to apply Data Science to Military
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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 Will you advance the state-of-art in 6G
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technology. As a PhD student, you join this prestigious Future Network Services (FNS) flagship project, where research and entrepreneurial pursuits converge. You will join the Signal Process Systems (SPS
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Erasmus MC (University Medical Center Rotterdam); Published 3 Nov ’25 | Netherlands | about 1 month ago
The Department of Medical Informatics at Erasmus MC invites applications for a PhD position at the forefront of health AI and data science. Join our innovative, multidisciplinary team engaged in
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research group in Organization and Management Theory (OMT) is seeking a PhD candidate to contribute to its research program. The core focus of our research program is the study of organizations in society
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Published Monday 3 Nov 2025 Deadline Thursday 15 Jan 2026 Work area PhD Organisational unit Rotterdam School of Management (RSM) Salary € 3.059 - € 3.881 Employment 1 fte - 1 fte Abstract The aim
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applicants typically have backgrounds in computer science, statistics or econometrics but should have an intrinsic interest for marketing problems. The PhD will be supervised by Prof. Dr. Lemmens and funded by