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Field
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-like particles as candidates for dark matter. We perform tests of exotic models for Gravity beyond General Relativity, and cosmological measurements using GWs such as Hubble constant and probes
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-like particles as candidates for dark matter. We perform tests of exotic models for Gravity beyond General Relativity, and cosmological measurements using GWs such as Hubble constant and probes
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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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techniques to create a model for the early prediction of victimization, offending and the victim-offender overlap, which could be employed in school and residential contexts to identify youth in urgent need
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, - Participation in national/international conferences, - Direction of master's or undergraduate students, - Participation in science engagement activities, - Certification to work with animal experimental models
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. Skills in modelling and analysis using machine learning tools. Experience in environmental and economic assessment and in feasibility and replicability studies. Scientific production (Q1) and technical
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Model and beyond (including collider, flavour, Higgs and neutrino physics), QCD and strong interactions, lattice QCD, effective field theories in hadron and nuclear physics, astroparticle physics
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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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the social and environmental implications of proximity models, combining spatial, mobility and socioeconomic data to develop indicators and tools for the toolkit. The candidate will also assume coordination
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sustainability of biomaterial manufacturing through safe design methods, machine learning, and predictive life cycle assessment as well as developing machine learning and hybrid digital modeling methods, combining