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UiO/Anders Lien 21st October 2025 Languages English English English PhD Research Fellow in Deep learning for imaging Apply for this job See advertisement About the position Position as PhD Research
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into products and services for Continental through close collaboration with its business units. Key Responsibilities: Conducting the research in AI domains and formal methods Applying the developed research ideas
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mixed-methods approach, including quantitative and qualitative data collection, fidelity assessment, and economic modelling. The Research Fellow will work closely with project partners (i.e. Bolton City
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clinical texts according to the ICD taxonomy, (b) explainability methods to be used in connection with models for clinical coding. BINDING LEGISLATION Law 40/2004 of 18th of August (Scientific Research
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 20 days ago
Job related to staff position within a Research Infrastructure? No Offer Description INEGI-Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial announces an open call for a PhD
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, including the duration of the initial contract. It is mandatory to formalize applications with the submission of the following documents: i) B1 Form – Fellowship application (http://drh.tecnico.ulisboa.pt
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for constructing correctness proofs, yet the standard symbolic methods face significant limitations in both expressivity and scalability. This project proposes novel techniques for constructing formal proofs
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submission: The call is open from the 15/09/2025 to 26/09/2025. Documentation to be provided at the time of application: Applications must be formalized by sending the following documents: i) Detailed
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with an R&D unit, focused on cross-disciplinary research skills in the areas of food, innovation, and sustainability. Experience in: a) Liquid and solid phase extraction methods for plant metabolites and
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factors. Though not required, we are particularly interested in applicants who use advanced quantitative methods, including computational modeling, machine learning, and/or analyzing structural and