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for 3 years. The project is conducted in close collaboration with the SFF Integreat, The Norwegian Centre for Knowledge-driven Machine Learning (ML) , a centre of excellence funded by RCN and in operation
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The postdoc’s work will involve research within dynamical systems theory and network theory, with applications in mathematical modeling in neuroscience and in machine learning. In addition, a smaller amount of
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fully funded PhD position in the area of safe data-driven system identification for cyber-physical systems, offered by our research group at the intersection of control theory, machine learning, and
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the use of machine learning and AI approaches • Integration of proteomics with genetic data via MR, coloc and FUSION to identify causal and druggable targets Requirements • The successful applicant will
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 39 minutes ago
solid academic background in polymer synthesis and electrochemistry. The candidates should be self-motivated to explore new areas of studies including AI related and machine learning fields, have evidence
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Postdoc Positions Application Deadline 29 May 2026 - 12:00 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Offer Starting Date 1 Sep 2026 Is the job funded
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broad spectrum of fields, from core to applied computer sciences. Its vast scope also benefits our undergraduate and graduate programmes, and we now teach courses in several engineering programmes
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English Proficiency in machine learning and large omics data analysis is preferred. Where to apply Website https://www.lih.lu/en/job/?value=JA/PDGMB0326/MD/DIIA Requirements Research FieldComputer science
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job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoc Position in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 44 minutes ago
. Throughout the Fellowship, individuals will have the opportunity to participate in research using digital pathology, machine learning, deep learning, artificial intelligence, and digital image analysis. Other