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Field
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. Mathematical or computational models, including artificial intelligence-based approaches, that make use of such information flows and address uncertainty and complexity in relation to food safety risk assessment
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intelligence-based modelling approaches in representing product quality and shelf-life dynamics under variable handling conditions. Examine how insights derived from digitally enabled and data-oriented analyses
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extensive electromagnetic modeling to optimize the waveguide structures for minimal loss, efficient confinement, and effective mode matching with external optical components. Particular attention will be
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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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phenomenology in the Standard Model and beyond (including collider, flavour, Higgs and neutrino physics), QCD and strong interactions, lattice QCD, effective field theories in hadron and nuclear physics
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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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of the SU(N) Fermi-Hubbard model and its low-temperature phases at the microscopic level. Share this opening! Use the following URL: https://jobs.icfo.eu/?detail=1003
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Where to apply Website http://www.ub.edu/caiac/solBeca?idConvocatoria=50410 Requirements Research FieldPharmacological sciencesEducation LevelPhD or equivalent Skills/Qualifications Graduate in Pharmacy
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of gels with different swelling responses. Specific tasks include: - Perform experimental work on microfluidics and soft condensed matter. - Analysize data. - Use theoretical models to rationalize data
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research communities. Applicants are invited to propose a research project around the development of AI models for predicting promising catalyst candidates to integrate molecular modelling techniques