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in Artificial Intelligence. You will be required to work as part of the project team and develop artificial intelligence technologies relevant to Large Language Models. You may also have to do regular
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for scalability and resilience, as well as indexes on key fields (sample ID, gene/protein, variant, peptide) for the various possible queries. Where to apply Website https://www.unipa.it/albo.html Requirements
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6 Jan 2026 Job Information Organisation/Company MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE Research Field Biological sciences Computer science Physics Researcher Profile Recognised
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data set (e.g. neutron irradiations, that take years/decades to generate). Digilab brings AI/ML (artificial intelligence / machine learning) approaches for data engineering and automation to utilise
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Information Work Location(s) Number of offers available2Company/InstituteThe Italian Institute of Artificial Intelligence (AI4I)CountryItalyState/ProvinceToCityTurinGeofield Contact City Torino Website https
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| Artificial Intelligence Hub Job Overview The Software Systems/Applications Engineer will design innovative software/middleware within artificial intelligence and high-performance computing while contributing
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second in the UK for research power and first in England. About the role The project will be carried out at the Department of Computer Science, in the Machine Intelligence Lab (https
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA | Italy | 12 days ago
Description This research project aims to develop a new artificial intelligence model for dense scene understanding from images, that is, for estimating multiple geometric and physical properties. The key
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Professorial Research Fellow in Artificial Intelligence (AI) and Machine Learning (ML) to provide leadership and vision in advancing research excellence. This is a unique opportunity to apply cutting-edge
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Università degli Studi di Roma Tor Vergata - Dipartimento di Scienze Chirurgiche | Italy | about 1 month ago
project aims to develop and train an artificial intelligence–based multiplex network for individualised risk stratification in prostate cancer. By integrating genomic, transcriptomic, clinical, pathological