138 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" Fellowship research jobs in Norway
Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oslo
- University of Bergen
- NTNU - Norwegian University of Science and Technology
- UiT The Arctic University of Norway
- NTNU Norwegian University of Science and Technology
- University of Stavanger
- University of Agder (UiA)
- University of Agder
- Nord University
- The Oslo School of Architecture and Design (AHO)
- Western Norway University of Applied Sciences
- ;
- CMI - Chr. Michelsen Institute
- OsloMet
- OsloMet - storbyuniversitetet
- OsloMet – Oslo Metropolitan University
- Simula UiB
- 7 more »
- « less
-
Field
-
(PDE). Examples of models in the scope of the project include particle models, stochastic PDE and models from fluid dynamics and machine learning. Place of work is the Department of Mathematics, Blindern
-
to apply: https://www.jobbnorge.no/en/available-jobs/job/291009/phd-research-fellow-in-criminology Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/291009/phd-research-fellow-in-cr
-
groundwater/geochemical modelling software (e.g., MODFLOW, PHREEQC). Experience with laboratory analytical methods (e.g., chromatography, mass spectrometry). Familiarity with AI or machine learning applications
-
solutions, and co-create interventions in collaboration with students and staff in order to support students’ well-being, motivation, and learning. The successful candidate will be expected to engage in all
-
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
-
dissertated before the start-up date of the position. A research profile with relevant experience in biological sequence analysis, with complementary skills in machine learning or other relevant algorithms. A
-
, causal inference, and machine learning to study real-world treatment patterns, effectiveness, and safety of monoclonal antibodies (mAbs) used in autoimmune, inflammatory, and neurological diseases. Using
-
understanding of how acoustic waves are generated and transmitted in wells. The LeDAS project aims to overcome these challenges by combining physical modelling, advanced signal processing, and machine learning in
-
integration of welfare technologies in the care systems for elderly people. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/292367/phd-research-fellow-in-human-robot
-
Flows. It will relate to ongoing doctoral projects within the Oslo Centre for Critical Architectural Studies at the Institute of Architecture (OCCAS): http://occas.aho.no ). The PhD project will be