611 structures-"https:" "https:" "https:" "https:" "https:" "Imperial College London" positions in Norway
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and well-structured PhD trajectory, the PhD fellow will be required to develop a career and competence development plan in dialogue with the supervisory team early in the appointment period. Aksel
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criteria see https://www.nmbu.no/en/research/regulations-and-guidelines-doctoral-degrees-nmbu To be employed, you cannot have previously held a PhD position at NIBIO or with funding from The Research Council
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of the Algebra, Geometry and Topology section. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/294740/phd-research-fellow-in-algebraic-topology Where to apply Website https
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information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/294739/phd-research-fellow-in-algebra-geometry-and-topology Where to apply Website https://www.jobbnorge.no/en/available-jobs/job
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Is the Job related to staff position within a Research Infrastructure? No Offer Description We are investigating the roles of structural proteins of the cell nucleus, nuclear lamins, in breast cancer
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/ML methods to improve drillability, increase rate of penetration (ROP), reduce non‑productive time, and enable cost‑effective geothermal well construction. The work includes evaluating geothermal
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), Domus Medica, Gaustad UiO campus, Oslo. Job description The position is connected to the project “Bayesian Enhanced Tensor Factorization Embedding Structure (BETTER)”, and this PhD project specifically
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practice. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/293131/20-position-as-researcher-at-european-palliative-care-research-centre-prc Where to apply Website https
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terrestrial cold-region processes and their interactions in the Earth system, with three related ERC projects. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/296279
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of Informatics at Blindern, Oslo. Job description Unsupervised machine learning (ML) methods are widely used to explore structure in complex and high-dimensional data, particularly in the life sciences, where