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- CRAG-Centre de Recerca Agrigenòmica
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Field
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disease using in vivo and in vitro models, with a particular focus on enterococcal infections. Main responsibilities and duties: In vitro studies of microbiological resistance Phenotypic characterisation
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models). Because solid non-private statistical methodologies for some of these complex models—particularly heterogeneous interacting particle systems—are currently lacking, establishing these foundational
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. · Extending current methodologies (e.g., FrustraEvo, Potts models, structure prediction pipelines) to large-scale protein datasets. Key Duties Conduct independent and collaborative research on protein evolution
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of Robotics and Industrial Informatics (CSIC-UPC) offer a position to work on World Models for Human Behaviour Anticipation https://ramonllull-aira.eu/archivos/theme_field/world-models-for-human-behaviour
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at CRAG (from basic science to applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https
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and Astroparticle Physics and Cosmology groups (https://www.ifae.es/groups/theory/ ). These include physics beyond the Standard Model, formal aspects of quantum field theories, gravitation, cosmology
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at CRAG (from basic science to applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https
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photosynthetic membranes. Specifically, pump-probe ultrafast nanoscopy of transport in model OPVs and light-harvesting complexes. Specifically, advance structured excitation methods for low light level exciton
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with quantum sensing techniques) is particularly welcome. The successful candidate will be part of the Beyond the Standard Model and Astroparticle Physics and Cosmology groups of IFAE (https
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at CRAG (from basic science to applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https