31 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" PhD positions at NTNU Norwegian University of Science and Technology
Sort by
Refine Your Search
-
, target recognition and shape estimation, data association, as well as intention prediction, beyond the state of the art. In order to support machine learning, the project will make use of historical radar
-
for a PhD education Master students can apply, but the MSc degree must be obtained and documented by 1st of July 2025 You must meet the requirements for admission to the faculty's doctoral program (https
-
collaborations across Norwegian universities, research institutes, industry, public agencies, and leading global institutions. We welcome motivated applicants in robotics, control, AI, machine learning, physics
-
calculations Knowledge about machine learning application in condensed matter Knowledge about magnetism, superconductivity, and topological order Personal characteristics We are looking for a candidate who is
-
the health services. Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/290397/phd-candidate-in-medicine… Requirements Research FieldMedical sciencesEducation LevelMaster Degree
-
of current work processes. The project will adopt social science and sociotechnical perspectives such as computer supported collaborative work, HCI or organizational sociology to investigate the intra- and
-
particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme https://www.ntnu.edu/nv/phd Good oral and written presentation skills in
-
mixed models, permutational methods, Bayesian analyses, machine learning algorithms, structural equation modeling). A good practical knowledge of R Personal characteristics To complete a doctoral degree
-
Doctoral Programme (https://www.ntnu.edu/nv/phd ) Excellent communication skills in written and spoken English PLEASE NOTE: For detailed information about what the application must contain, see paragraph
-
and 5.0. System engineering and socio-technical systems AI-supported adaptive continuous learning Industrial cybersecurity, supply chain security Semantic modelling of industrial artefacts, knowledge