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10 Apr 2026 Job Information Organisation/Company Universitat Pompeu Fabra - Department / School of Engineering Department Engineering Research Field Engineering » Computer engineering Researcher
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the United States. Collaboration is pivotal to CIMR’s success and relies on active doctor involvement and teamwork with affiliated hospitals. Industry engagement ensures that the Institutes are aligned with product
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)-POSTDOC [#31861] Position Title: Position Type: Postdoctoral Position Location: Bellaterra, Catalonia 08193, Spain [map ] Subject Area: Physics / Medical Physics Appl Deadline: none (posted 2026/03/24 04
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AI4Science project, specifically focusing on the intersection of advanced machine learning and sustainable catalysis discovery. The primary incentive of this Postdoctoral Fellowship is the chance to contribute
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based on neutral atom platforms, exploring both theoretical and experimental domains. Research will span quantum control, quantum-enhanced machine learning, and hybrid quantum-classical computation
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software. (0-35) Experience in the application of advanced machine learning techniques (e.g., graph neural networks, reinforcement learning, probabilistic models, or latent representations) to biomedical
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the United States. Collaboration is pivotal to CIMR’s success and relies on active doctor involvement and teamwork with affiliated hospitals. Industry engagement ensures that the Institutes are aligned with product
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the instruction and guidance of PhD students dedicated to these topics. Frequent interactions between them will enable the achievement of the goals of the project. Where to apply E-mail odriva@pa.uc3m.es
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the interplay between mutations, energetics, and evolutionary constraints, including epistatic effects. · Developing or applying machine learning approaches to predict or redesign frustration patterns in proteins
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the neurovascular space. Knowledge of neurovascular anatomy, acute stroke, endovascular treatments, neuroendovascular devices for the treatment of stroke. Ability to generate machine learning analysis of medical