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for cognitive science and artificial intelligence, including about 35 PhD students. Core research domains include cognitive science, machine learning, deep learning, games, virtual reality, computational
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materials theory and design. Where to apply Website https://www.academictransfer.com/en/jobs/355040/postdoc-on-machine-learning-and… Requirements Specific Requirements PhD in physics, materials science
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Job related to staff position within a Research Infrastructure? No Offer Description Join a transformative project at RIBES using machine learning and genomics to overcome linkage drag and accelerate
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analytics, modelling, and AI to turn scientific research into real-world impact. You’ll join an open, supportive environment that fosters learning and professional growth. Job requirements Your profile: PhD
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of machine learning (ML) and quantum many-body physics. We are also happy to work with experts in one of the two fields who are committed to learning the other. Moreover, we look for interest in developing
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strategies in psychiatry. This research combines recent advances in machine learning and cognitive neuroscience to contribute to future clinical tools for diagnosing and monitoring neuropsychiatric disorders
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at RIBES using machine learning and genomics to overcome linkage drag and accelerate crop breeding by design. You will build models, analyse new sequencing data and optimise strategies for combining
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Excited to shape the future of hearing aids? Ready to combine your expertise in Signal Processing, Optimization and Machine learning with Perception and Intelligibility? Job description Good hearing
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electron ground states. Another promising route towards physical implementations of energy-based machine learning and neuromorphic hardware is to utilise material platforms that exhibit multiwell behaviour
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preferably start around 01-12-2025 and requires knowledge of geometric image processing and machine learning. Information As Post-doctoral Researcher within VICI Project "Geometric Learning for Image Analysis