343 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" research jobs in Norway
Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- University of Oslo
- UiT The Arctic University of Norway
- University of Bergen
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- University of Stavanger
- University of Agder
- University of Inland Norway
- NORCE Norwegian Research Centre
- Norwegian University of Life Sciences (NMBU)
- ;
- CMI - Chr. Michelsen Institute
- Høgskulen i Volda
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- Nord University
- OsloMet - storbyuniversitetet
- OsloMet – Oslo Metropolitan University
- Simula Research Laboratory
- Simula UiB
- The Norwegian Center for Holocaust and Minority Studies
- The Peace Research Institute Oslo (PRIO)
- University of Agder (UiA)
- University of Oslo;
- VID Specialized University
- Østfold University College
- 15 more »
- « less
-
Field
-
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
-
models with drone imagery using machine learning techniques and data assimilation. The work will involve collaboration with an interdisciplinary team of researchers, engineers, and local stakeholders in a
-
kind of machine learning algorithm, provides more accurate data than traditional data collection methods, e.g. paper-based surveys. This data is valuable to several stakeholders: i) architects and urban
-
Website https://karriere.norceresearch.no/en/jobs/7235739-phd-research-fellow-in-data-a… Requirements Research FieldMathematics » Applied mathematicsEducation LevelMaster Degree or equivalent Skills
-
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
-
laboratory analytical methods (e.g., chromatography, mass spectrometry). Familiarity with AI or machine learning applications relevant to environmental data analysis. Basic knowledge of GIS/mapping tools
-
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
-
qualifications: A strong background in algebraic topology. Experience in any of the following: Higher category theory, stable homotopy theory, simplicial methods. An interest in computer algebra and programming
-
: https://www.mn.uio.no/math/english/research/groups/several-complex-variables/index.html https://www.mn.uio.no/math/english/research/groups/operator-algebras/index.html The Faculty of Mathematics and
-
material waste and environmental impact, enabling sustainable processing of healthy and safe foods. Write scientific publications. Teach on Food Processing courses:Food Processing II (MVI261) and Food