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and/or the CAD/CAM process is a plus. I am proficient in Python and am familiar with data science and machine/deep learning toolkits. As a PhD researcher at KU Leuven, I perform research in a structured
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investment in artificial intelligence over the next five years (regjeringen.no ) (in Norwegian). About the project/work tasks: This PhD fellowship is associated with the third cluster of the AI LEARN centre
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of machine learning for healthcare and related topics Deep knowledge of multi-modal learning, transfer learning, foundation models, and self-supervised learning. Experience in dealing with large
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Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, can be found at https://postdoc.hms.harvard.edu/guidelines Minimum Number of References Required Maximum
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FAST-TRACK – Fast Alloy Screening for Next Generation Aerospace Superalloy Development EPSRC CDT in Developing National Capability for Materials 4.0, with the Henry Royce Institute PhD Research
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subsea digital twin of deep-water mooring lines for floating offshore wind turbines. The digital twin will be integrated with machine learning algorithms for detection of primary entanglement due
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/or spatial genomics, computational biology, machine learning, bioinformatics, and systems neuroscience. Prior experience with deep learning applied to biological data is a plus. Practical experience
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17 Dec 2025 Job Information Organisation/Company Grenoble INP - Institute of Engineering Department Engineering Research Field Engineering Researcher Profile Other Profession Positions PhD Positions
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learning, or deep reinforcement learning; Hands-on experience with systems integration, including Robot Operating Systems; Enthusiasm to supervise UG/MSc/PhD students. Downloading a copy of our Job
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perception systems, using deep learning and simulation-to-real domain adaptation techniques. You will work with a multidisciplinary team, contributing to fundamental and applied research. Your role will