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predictive machine-learning models from heterogeneous data. DSIP is actively collaborating with industrial partners and research organizations. DSIP is involved in developing Deep Learning solutions for time
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benefits from the collaboration with several universities and research centres worldwide, most often with the closer universities of Genova and Verona. AIGO is part of ELLIS (https://ellis.eu
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including Physics beyond the Standard Model, Dark Matter, Axions, Higgs and Collider physics, Neutrino physics and astrophysics; Cosmology including Large Scale Structures, Physics of the Early Universe
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coherent framework between hardware, theoretical models, and application protocols, facilitating the validation and benchmarking of quantum protocols. Thanks to the collaboration between universities
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functionalization in Colon cancer “in vitro” models Where to apply Website https://www.unimore.it/it Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Italy
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“Hybrid Hub (H2UB): Cellular and computational models, micro and nanotechnologies for the personalization of innovative therapies”, funded by the Italian Ministry of Health, under Trajectory 4
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of Quantum Chromodynamics in scenarios characterized by multiple energy scales. The expected results will help refine phenomenological models, improve Monte Carlo simulations, and contribute to a better
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) Testing the Standard Model with the LHCb-Upgrade experiment in high-rate conditions; 3) Theoretical aspects of the fundamental interactions and early cosmology; 4) Observation-driven models of galaxies and
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mentor junior researchers. Flexibility and motivation to learn new concepts Very good English (spoken and written) Relocating to Bolzano Desirable: Experience with snow models or SWE estimation from remote
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intelligent robots. Developing adaptive learning and deployment frameworks enabling secure, trustworthy, and robust operation of AI models embedded in CPS. Conducting empirical and experimental studies at scale