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transfer the methods to innovations in close collaboration with Aker BP and/or Equinor. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/290391/postdoctoral-research
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projet ANR 4DPlants (https://4dplants.icube.unistra.fr/ ), financé par le ministère français de l'Enseignement supérieur et de la Recherche, et mené en partenariat par ICube/Université de Strasbourg, RDP
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(Extended Temporary Employment) Posting Number req24794 Department Sch of Nat Resource&Enviro-Res Department Website Link https://snre.arizona.edu/ Location Main Campus Address 1064 E Lowell Street, Tucson
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an interest in how psychological theory can improve synthetic data and in deepening our understanding of when and why LLM-generated responses approximate human behavior. The project involves a collaboration
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will carry out method development and computer simulations of molecular materials with the objective of designing better components for photovoltaic cells based on the principles of singlet fission
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computer vision method for medical image analysis principally in oncology or pathology, with a possible focus on generative AI, explainability, multi-modality. Candidate’s profile A good Bachelors degree
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the medium and long term. We are looking for a Machine Learning Research Engineer: The ideal candidate will bring deep expertise in state-of-the-art deep learning methods applied to computer vision, 3D
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application! We are looking for a PhD student in Statistics with placement at the Division of Statistics and Machine Learning, Department of Computer and Information Science. Your work assignments As a PhD
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 18 hours ago
reporting. Strong computer skills required, including proficiency with spreadsheets (Excel) and enterprise accounting and data base tools required. Experience with SAP, BrioQuery, Kuali Coeus, and Cognos
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This research project focuses on the study of advanced numerical methods