320 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" Fellowship positions in Norway
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oslo
- UiT The Arctic University of Norway
- University of Stavanger
- University of Bergen
- NTNU - Norwegian University of Science and Technology
- University of Agder
- NTNU Norwegian University of Science and Technology
- OsloMet – Oslo Metropolitan University
- University of Inland Norway
- CICERO Center for International Climate Research
- CMI - Chr. Michelsen Institute
- Høgskulen i Volda
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- NORCE Norwegian Research Centre
- Nord University
- Norwegian Institute of Bioeconomy Research
- OsloMet - storbyuniversitetet
- Simula Research Laboratory
- Simula UiB
- The Norwegian Polar Institute
- University of Agder (UiA)
- University of Oslo;
- Østfold University College
- 13 more »
- « less
-
Field
-
information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/292751/postdoctoral-fellow Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/292751/postdoctoral-fellow
-
programmes is a primary focus for the faculty's doctoral programme, PhD in educational sciences (UTVIT) (https://www.inn.no/english/research/doctoral-degree/educational-sciences/). It is a prerequisite that
-
bioinformatics. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/292274/phd-fellowship-in-nuclear-organization-in-breast-cancer Where to apply Website https://www.jobbnorge.no
-
the researchers from Department of Automation and Process Engineering will play a key role. We welcome motivated applicants in robotics, control, AI, machine learning, physics, and related fields, including early
-
Science About the project This PhD project integrates pharmacoepidemiology, causal inference, and machine learning to study real-world treatment patterns, effectiveness, and safety of monoclonal antibodies
-
the areas of stochastic analysis and computational methods towards machine learning with focus on risk-sensitive decision making and control. Techniques may include forward, backward stochastic differential
-
requirement: Good oral and written communication skills in English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english
-
of AI and in particular machine learning (ML). As today’s mainstream AI/ML workloads often resort to large-scale and energy-hungry supercomputers, it is necessary have a more critical look at how HPC
-
hypotheses related to metabolic rate increases, energy allocation shifts, temperature-dependent bioaccumulation, and varying toxicity across biological levels. For more information and how to apply: https
-
criteria see https://www.nmbu.no/en/research/regulations-and-guidelines-doctoral-degrees-nmbu To be employed, you cannot have previously held a PhD position at NIBIO or with funding from The Research Council