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
- University of Bergen
- UiT The Arctic University of Norway
- Norwegian University of Life Sciences (NMBU)
- University of South-Eastern Norway
- University of Inland Norway
- The Norwegian School of Sport Sciences
- University of Agder
- OsloMet – Oslo Metropolitan University
- jobs.ac.uk
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- University of Agder (UiA)
- University of Stavanger
- Western Norway University of Applied Sciences
- Høgskulen i Volda
- Molde University College
- NAMMCO - North Atlantic Marine Mammal Commission
- Oslo University Hospital
- Oslo University Hospital (OUS)
- Simula UiB
- UNIS
- 13 more »
- « less
-
Field
-
is part of the ERC-funded project “Actively learning experimental de-signs in terrestrial climate science (ACTIVATE)”: https://www.mn.uio.no/geo/english/research/projects/activate/index.html The PhD
-
Documented knowledge of statistical theory and methods and core machine learning methods Documented Python programming skills Desired qualifications: Experience with change point detection and anomaly
-
models, parameter estimation and model validation). Documented knowledge and experience in data analysis and scientific computing (such as proficiency in Python/R/MATLAB, data visualization, machine
-
collaborators. The position is part of the ERC Starting Grant “Actively learning experimental designs in terrestrial climate science (ACTIVATE)”: https://www.mn.uio.no/geo/english/research/projects/activate
-
) corresponding to a minimum of four years in the Norwegian educational system Have programming experience in Python, specifically for scientific data processing and analysis Fluent oral and written communication
-
(or equivalent) for both the programme as a whole and the Master's thesis. Strong programming skills (Python preferred) and foundations in machine learning. Interest in adaptive interactive systems, biofeedback
-
inference Familiarity with administrative register data or other types of big data Familiarity with R, Stata, Python, or other relevant computing languages Documented research experience or educational
-
skills, with demonstrated experience building and maintaining production-quality software (Python preferred, given the platform’s stack) Solid grounding in data science methodology - comfortable working
-
motivation for interdisciplinary collaboration. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/307596/phd-research-fellow-in-soft-matter Where to apply Website https
-
publications and conference presentations in Solar Physics and Astrophysics as well as through outreach activities. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/307635