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Università di Pisa - Dipartimento di Patologia chirurgica, medica, molecolare e dell'area critica | Italy | 5 days ago
Research contract - Department of Surgery, Medical, Molecular and Critical Area Pathology - duration 24 months - expiration date 4th april 2026 at 1 pm Where to apply Website https://bandi.unipi.it/public
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biology, and mechanisms of drug resistance. Research activities will utilize a combination of in vitro approaches, including cultured cell models, and in vivo experimental systems using animal models
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records from stalagmites which grew in coastal caves, to reconstruct the phasing of changes in the North Atlantic salinity relative to AMOC variations, and interpreting them with the aid of process models
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Mobasher. It involves a diverse range of activities including: structural and geotechnical modeling, machine-learning model development, structural sensing and health monitoring, conducting physical
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI SCIENZE GIURIDICHE | Italy | 9 days ago
Website http://www.unibo.it Requirements Additional Information Eligibility criteria to apply for research grants fill out the form available at the following address: https://bandi.unibo.it/ricerca
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Computational modeling of metal alloys using an Integrated Computational Materials Engineering (ICME) approach. Responsibilities: 60% Perform research on the microstructural evolution of metal alloys during
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+ animal models), therefore the winner will have to carry out activities in at least three key areas: in vivo experimentation, Alzheimer's (AD) biomarkers, and bioanalytical detection technologies
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proceed with the definitionand numerical implementation of the models for the simulation of the magnetic, electrical, thermal, and mechanical behavior of these devices. Appropriate experimental setups will
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and human activities. CESBIO scientists make extensive use of remote sensing technologies to monitor environmental changes across spatial and temporal scales and to develop models that address key
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protein structural insight with hands‑on ML development: adapting and applying state‑of‑the‑art structure prediction and design frameworks, training/fine‑tuning models, and running scalable computational