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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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2 Mar 2026 Job Information Organisation/Company Universidad Pontificia Comillas Department Vicerrectorado de Profesorado, Investigación e Inteligencia Artificial Research Field Economics » Banking
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). A dynamic scientific environment of excellence, where cutting-edge biomedical projects are continuously developed. Continuous learning and career development pathways. Flexible working hours. 23 days
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Infrastructure? No Offer Description Experimental postdoc. Develop experimental approaches to studying learning in individual mammalian cells, following two potential paths. First, by following up the studies
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) participate in the monitoring at sea to acquire video and picture of the transplanted sites, (2) quantitatively analyse video to define species and functional diversity, species abundances and population size
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of Health (ICS). A scientific environment of excellence, highly dynamic, where high-end biomedical projects are continuously developed. Continuous learning and a wide range of responsibilities within a
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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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and astroparticle physics. The members of the group are D. Blas, E. Masso, A. Pomarol, O. Pujolas, M. Quiros, F. Rompineve, E.Salvioni and A. Wulzer. Applicants should have a PhD degree in Physics by
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research at the Spanish National Research Council (CSIC) in a collaborative and enthusiastic environment. Where to apply E-mail victor.vilarrasa@csic.es Requirements Research FieldEngineering » Mechanical
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=50415 Requirements Research FieldPhysicsEducation LevelPhD or equivalent Skills/Qualifications Advanced skills in Machine Learning and Artificial Intelligence Proficiency in spoken and written English