Sort by
Refine Your Search
-
Listed
-
Employer
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- University of Bergen
- Nord University
- Norwegian University of Life Sciences (NMBU)
- University of Oslo
- UiT The Arctic University of Norway
- King's College London
- Norwegian Institute of Bioeconomy Research
- Norwegian Meteorological Institute
- OsloMet
- 1 more »
- « less
-
Field
-
work and phylogenetic analyses Species delimitation and biogeographic analyses Preparation of manuscripts for publication The PhD candidate must take part in the University’s approved PhD program leading
-
to completing their PhD studies within the period of employment. Strategic considerations and academic relevance will be an important part of the selection process. Applicants must therefore align
-
Experience with deep learning The applicant must meet the requirements defined for admission to the PhD program at the Norwegian University of Life Sciences (NMBU), including 120 ECTS credits as part of
-
job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description About the PhD fellowship
-
insufficient and will not be accepted as basis for admission to the PhD programme. Applicants with education from a Nordic country or those with a medical degree from the EEA area and a license to practice
-
, Material Science, Material Engineering, Physical Chemistry or similar. Foreign degrees must correspond with the admission criteria for the PhD program. Experience from relevant laboratory work. Fluency in
-
confirming receipt of your application. Please note that the automatic recognition offered by HK-dir is insufficient and will not be accepted as basis for admission to the PhD programme. Applicants with
-
of the fields Informatics, physical geography, hydrology, hudraulic engineering, hydropower or equivalent. Your course of study must correspond to a five-year Norwegian course, where 120 credits have been
-
of physics into machine learning and deep learning architectures to create accurate, physically consistent, efficient and interpretable/generalizable models. This PhD project will contribute to the development
-
application process here. About the position There is a vacancy for a PhD position on the topic of upscaling of permafrost thaw and greenhouse gas emissions. The position is based at the Department of Biology