637 machine-learning-"https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" positions in Norway
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Oslo
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- UiT The Arctic University of Norway
- University of Bergen
- University of Stavanger
- Norwegian University of Life Sciences (NMBU)
- OsloMet
- University of Agder
- University of South-Eastern Norway
- NORCE Norwegian Research Centre
- Nord University
- University of Inland Norway
- ;
- BI Norwegian Business School
- Molde University College
- Nature Careers
- OsloMet – Oslo Metropolitan University
- The Norwegian Polar Institute
- Western Norway University of Applied Sciences
- Østfold University College
- CESSDA ERIC
- CICERO Center for International Climate Research
- CMI - Chr. Michelsen Institute
- Høgskulen i Volda
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- NHH Norwegian School of Economics
- NORWEGIAN UNIVERSITY OF SCIENCE & TECHNOLOGY - NTNU
- Nansen Environmental and Remote Sensing Center
- Norwegian Institute of Bioeconomy Research
- Simula Research Laboratory
- Simula UiB
- The Norwegian Center for Holocaust and Minority Studies
- The Peace Research Institute Oslo (PRIO)
- UNIS
- University of Agder (UiA)
- University of Oslo;
- VID Specialized University
- 28 more »
- « less
-
Field
- Computer Science
- Medical Sciences
- Biology
- Economics
- Science
- Materials Science
- Mathematics
- Social Sciences
- Humanities
- Engineering
- Linguistics
- Arts and Literature
- Earth Sciences
- Chemistry
- Electrical Engineering
- Education
- Law
- Philosophy
- Psychology
- Physics
- Business
- Environment
- Sports and Recreation
- 13 more »
- « less
-
) to enhance AML capabilities. AI-driven solutions can learn from vast datasets to spot hidden patterns and anomalies beyond human or rule-based detection. For more information and how to apply: https
-
for more details: https://ic3.uit.no/news/sediments-analogues-past-ice-streams-landscapes Within this research area, you can pursue the research questions and methodologies that you are most passionate about
-
of the interactions between glaciers and oceans, with a focus on the European Arctic. Please read this interview for more details on Pedro’s work: https://ic3.uit.no/news/msca-physical-biochemical-modeling Within
-
details on Philipp’s work: https://ic3.uit.no/news/polar-marine-ecosystems-msca Within this research area, you can pursue the research questions and methodologies that you are most passionate about – this
-
will then integrate those data into climate models. Please read this interview for more details: https://ic3.uit.no/news/postdoc-opportunity-investigate-how-much-carbon-is-stored-beneath-ice-sheets
-
data to gain a more precise understanding of complex biological systems. Research Environment & Collaboration The successful candidate will work at the interface of machine learning and biostatistics
-
information science at the Bachelor and Master levels. This may include courses in information science foundations, programming, artificial intelligence, machine learning. In addition, the candidate is expected
-
practice. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/293131/20-position-as-researcher-at-european-palliative-care-research-centre-prc Where to apply Website https
-
terrestrial cold-region processes and their interactions in the Earth system, with three related ERC projects. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/296279
-
/ ). By combining advanced machine learning techniques with qualitative methods, the project will investigate usage patterns and engagement levels with a health app across multiple European countries