90 computer-programmer-"https:"-"FEMTO-ST"-"Inserm" "https:" "https:" "https:" "https:" "https:" "UCL" positions at University of Lund
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in environmental science, quaternary sciences, bedrock geology, paleontology, physical geography, biodiversity and ecosystem science, remote sensing, Geographic Information Science (GIS), and
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the website and social media channels. There may be opportunities to contribute to teaching and supervision within the LUMES and LUCAS MSc programmes at LUCSUS. Qualifications The ideal candidate will have the
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Requirements for the position are: Bachelor’s or master's level education from natural or social sciences within relevant fields, e.g. sustainability science, geography, environmental science, computer
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1-2 Season employed fieldassitants by the Department of earth and enviromental science. (PA2026/808)
in environmental science, quaternary sciences, bedrock geology, paleontology, physical geography, biodiversity and ecosystem science, remote sensing, Geographic Information Science (GIS), and
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addition to following the study plan for the doctoral education, as well as participating in relevant courses for the education, the following tasks are also included: High-resolution methods such as large-scale
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statistical analysis plan for the assessment of the environmental impact of the two treatment strategies in the REDUSE trial. Qualifications To be eligible for the position, you must: Have a PhD degree in
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studies including use of computational analysis pipelines, recombinant antibody production, and immunochemical analysis. The research, with a focus on a clinical cohort undergoing such therapy, is carried
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), SLS (Switzerland), PETRA III (Germany), and the European XFEL in Germany. The project is computational. The successful candidate will have the opportunity to: Establish new deep-learning-based
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should be written in English and is to include: a CV, copy of your doctoral degree certificate, list of publications, a research plan, up to five publications and a pedagogical statement. Your research
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an emphasis on large-scale and/or distributed methods and systems. Central aspects include scalable methods with well‑founded analysis of, for example, computational and communication cost, convergence and