42 machine-learning "https:" "https:" "https:" "The University of Edinburgh" Postdoctoral research jobs in Norway
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of Norway through the “Arctic MSCA-PF program”. Successful postdoc candidates will be invited for a two-day MSCA-PF symposium June 10-11, 2026 (hybrid physical/digital event, see details at https://uit.no
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through the “Arctic MSCA-PF program”. Successful postdoc candidates will be invited for a two-day MSCA-PF symposium June 10-11, 2026 (hybrid physical/digital event, see details at https://uit.no/arcticmsca
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event, see details at https://uit.no/arcticmsca/programstructure ). At this event, the candidates will present their past research achievements, discuss future plans with their potential supervisor and
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physical/digital event, see details at https://uit.no/arcticmsca/programstructure ). At this event, the candidates will present their past research achievements, discuss future plans with their potential
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95 94 31 Deadline for applications is 5 May 2026. This date also applies to the submission of publications/written work. Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/298248
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future plans with their potential supervisor and learn how to write a successful MSCA-PF application. The selected candidates will, jointly with the supervisor, write the MSCA-PF application by
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, see details at uit.no/project/arcticmsca/program-structure ). At this event, the candidates will present their past research achievements, discuss future plans with their potential supervisor and learn
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learn how to write a successful MSCA-PF application. The selected candidates will, jointly with the supervisor, write the MSCA-PF application by the deadline of September 9, 2026. In this call we search
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at uit.no/project/arcticmsca/program-structure ). At this event, the candidates will present their past research achievements, discuss future plans with their potential supervisor and learn how to write a
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user and stakeholder engagement. The candidate will be embedded in a multidisciplinary research environment combining expertise in machine learning (ML), numerical modelling, satellite remote sensing