Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oslo
- University of Bergen
- University of South-Eastern Norway
- NTNU - Norwegian University of Science and Technology
- Western Norway University of Applied Sciences
- Nature Careers
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- UiT The Arctic University of Norway
- University of Agder
- University of Inland Norway
-
Field
-
) high-resolution laboratory experiments of CO2 storage, and (iii) multi-scale image analysis of laboratory data. About the work tasks The appointed candidate will mainly contribute to the first main
-
the analysis and toxicity of chemicals in plastics, Experience in neuroscience, in particular in working with zebrafish, Experience in public science communication, Good oral and written language skills in
-
for appointment. Good knowledge of programming and data analysis using Fortran, Matlab, Python, or similar programming languages. Experience in using and developing models to simulate natural systems. Knowledge
-
component corresponding to 30 ECTS, which corresponds to one semester. Qualifications and personal qualities: The applicant must hold a Norwegian master’s degree or an equivalent foreign degree in digital
-
candidate, you must participate in the Faculty of Humanities’ PhD programme . The PhD programme comprises a training component corresponding to 30 ECTS, which corresponds to one semester. Qualifications and
-
in Integreat and secondly, in a co-authored publication together with Anna Smajdor, based on ethical analysis of the findings from the overall project. In addition to the research activities described
-
attaching the mandatory elements listed in the next section. Your application must include: Research proposal (5 pages, using a template based on the evaluation criteria), must be relevant to the AI-related
-
are appointed for a period of 4 years are expected to acquire educational competence during their fellowship period, and within the duty component if such competence is not already acquired. The main purpose
-
for evaluation by the closing date. Only applicants with an approved doctoral thesis and public defense are eligible for appointment. Good knowledge of programming and data analysis using Fortran, Matlab, Python
-
, operator algebras, complex analysis and logic. We have almost 50 persons in permanent academic positions and a large number of post docs and Ph.D. students. We also have an administrative and technical staff