282 programming-"Multiple"-"U"-"O.P"-"U.S"-"University-of-Plymouth" Fellowship positions
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High Education Institution and one or multiple research units. Work plan: The work plan to be executed includes the following tasks: 1) Synthesis, functionalization, and characterization of nanomaterials
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research, quantum technologies, artificial intelligence, advanced communications and cybersecurity capabilities. The work will be in joint collaboration with the NRF CREATE programme Singapore Aquaculture
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. The following is a brief description of the center: The Center for Language, Brain and Learning (C-LaBL) aims to provide a step-change in our understanding of how multiple languages interact in the mind/brain
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well as to provide a strong foundation for further research projects. Each position term is subject to performance as well as research program needs and funding. Multiple postdoctoral fellow positions are initially
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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researcher with a strong background in hydrology, numerical/analytical modeling, programming, and data management/analytics is needed to support existing and forthcoming projects in the BEG hydro group
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well as to provide a strong foundation for further research projects. Each position term is subject to performance as well as research program needs and funding. Multiple postdoctoral fellow positions are initially
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, mass spectrometry, electrochemistry and inline analysis welcome as is an interest or experience in theory, programming or computation. For appointment at grade 8 some post doctorial experience in
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Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa. | Portugal | 12 days ago
/Lisbon) Type of Contract Not Applicable Job Status Not Applicable Offer Starting Date 16 Oct 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference
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researcher in natural language processing and large language models to work with a team from multiple disciplines of machine learning and artificial intelligence to develop multimodal large language models