105 data-"https:"-"https:"-"DIPC---Donostia-International-Physics-Center" PhD positions in Norway
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UiA-CERN PhD Position in Multi-robot Mapping and Environmental Data Sharing - Uncertain Environments
10th April 2026 Languages English English English UiA-CERN PhD Position in Multi-robot Mapping and Environmental Data Sharing - Uncertain Environments Apply for this job See advertisement About the
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the future? PhD Candidate in Data-Driven Methods and Sustainable Materials for Offshore Wind Apply for this job See advertisement Welcome to USN The University of Southeastern Norway (USN) ranks as the
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1st April 2026 Languages English English English The Department of Civil and Environmental Engineering has a vacancy for a PhD Candidate in data acquisition and analyses in tunnelling projects Apply
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approximately 25 doctoral scholarships and some postdoc positions. More information can be found here: https://www.ntnu.edu/mai The appointment is carried out in accordance with the principles of the State
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the Research Council of Norway and the partners for the period 2026-2030. There will be approximately 25 doctoral scholarships and some postdoc positions. More information can be found here: https://www.ntnu.edu
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by the Research Council of Norway and the partners for the period 2026-2030. There will be approximately 25 doctoral scholarships and some postdoc positions. More information can be found here: https
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approximately 25 doctoral scholarships and some postdoc positions. More information can be found here: https://www.ntnu.edu/mai The appointment is carried out in accordance with the principles of the State
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Additional Information Work Location(s) Number of offers available1Company/InstituteAI LEARN centreCountryNorwayCityBergenGeofield Contact City Bergen Website https://www.uib.no/en/charterandcode Street
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, monitoring even the most basic snow characteristics, such as presence of snow cover or snow depth, remains challenging. Most available satellite-based and modelled snow data products, especially for snow depth
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Arctic Ocean 2050. The successful applicant will work with zooplankton data from the High Arctic to address knowledge gaps in life history strategies, phenology and the distribution of key zooplankton