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Welcome to Maastricht University! The world is changing rapidly, and so is procurement. Artificial Intelligence (AI) is reshaping how organizations collaborate, make decisions, and develop talent
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7 Nov 2025 Job Information Organisation/Company CNRS Department GEORGIATECH-CNRS Research Field Engineering Physics Technology Researcher Profile First Stage Researcher (R1) Country France Application Deadline 27 Nov 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per...
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EU programme Reference Number DNAI – Digital Narratives and Artificial Intelligence Is the Job related to staff position within a Research Infrastructure? No Offer Description Errata to the notice
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 2 months ago
of early onset dementia with Artificial Intelligence”. A central problem in healthcare is the increase in neurodegenerative diseases / dementia. The project aims to achieve early detection and differential
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design of more balanced datasets of structurally resolved modes of binding to train the next generation of artificial intelligence (AI)-based structure prediction tools. PhD Project: AI-assisted protein
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structurally resolved modes of binding to train the next generation of artificial intelligence (AI)-based structure prediction tools. PhD Project: AI-assisted protein-protein interaction interface clustering and
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in computer vision, machine learning, and artificial intelligence to inform research direction and identify new opportunities; Contribution to the Research Environment including participating in lab
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experimental data (from ex-situ and in-situ measurement). Therefore, she/he will develop a way to optimize/guide the experiments trough artificial intelligence approach (machine/deep learning) that he will
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Feuer International Scholarship in Artificial Intelligence Warwick Manufacturing Group The Feuer International Scholarships in Artificial Intelligence are prestigious and highly competitive PhD
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PhD studentship: Improving reliability of medical processes using system modelling and Artificial Intelligence techniques Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience