179 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" scholarships in Sweden
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to this page https://web103.reachmee.com/ext/I003/583/main?site=6&validator=e4575239eb8c0828707e2b716f86c5f8&lang=UK&rmpage=job&rmjob=10074&rmlang=UK
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and CH4) from headwaters, and use of machine learning and process-based model for large scale assessments and projections of the land-water carbon cycle to variation in climate conditions. The detailed
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. Previous experience with machine learning applications in molecular modelling, including experience with at least three of the following Python libraries: TensorFlow, PyTorch, JAX, RDKit. Previous
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application with the reference number below. Final day to apply: 27 April, 2026 Reference number: 2450-2026 URL to this page https://web103.reachmee.com/ext/I003/583/main?site=6&validator
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methods, including GIS and spatial analysis. Applicants are invited to visit our departmental website to review the kinds of research we do in the department (https://www.uu.se/en/department/human-geography
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here Want to make a difference? Join us and contribute to better health for all Where to apply Website https://kidoktorand.varbi.com/en/what:job/jobID:914443/type:job/where:39/apply:1 Requirements
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us and contribute to better health for all Where to apply Website https://kidoktorand.varbi.com/en/what:job/jobID:910639/type:job/where:39/apply:1 Requirements Research FieldMedical sciencesEducation
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machine data analytics to new harvesting system designs. The Department of forest genetics and plant physiology is part of Umeå Plant Science Centre (UPSC, https://www.upsc.se ), a world leading centre for
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Computational Mathematics for reliable and trustworthy uncertainty quantification in science, engineering, and machine learning. Your workplace You will be employed at the Division of Applied Mathematics in a
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) , was created. The Department of forest genetics and plant physiology is part of Umeå Plant Science Centre (UPSC, https://www.upsc.se ) which is a centre of excellence for experimental plant research and forest