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vision foundation model capable of accelerating discovery across the life sciences. We are seeking a highly skilled AI Research Engineer to join our team and advance our AI-driven scientific initiatives
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SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
15th March 2026 Languages English English English The Department of Materials Science and Engineering has a vacancy for a SFI FAST: PhD position in Microstructure/texture evolution during extrusion
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highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud
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, an environment, and a culture that just aren’t found together anywhere else. This is the right place for you if you’re curious, motivated by the future of technology, and want to be part of a unique and diverse
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PhD Research Fellow in Theoretical and Computational Active Matter Physics for Glioblastoma Invasion
skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få en oversikt over besøkene dine på nettsiden, slik at vi
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appointed for more than one PhD Research Fellowship period at the University of Oslo. Place of work is the Language Technology Group at the Department of Informatics at Blindern, Oslo. Job description The
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. Is proficient in modern statistical modelling, AI & machine learning methods (e.g. system identification, regression models, Bayesian methods, deep learning). Is an experienced programmer in R and/or
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/cybersecurity Related Research Publication: https://link.springer.com/chapter/10.1007/978-3-031-66064-1_5 . Basic Qualifications Must be enrolled as a full-time student in a Bachelor's, Master's or PhD degree
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Analysis of Hydrogen Apply for this job See advertisement About the position Position as PhD Research Fellow in Systemic Environmental Risk Analysis of Hydrogen available at the Department of Technology
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research excellence. This position is ideal for applicants interested in logic, formal descriptions, software engineering, and programming. This PhD project focuses on developing a model-based and knowledge