Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oslo
- University of Bergen
- UiT The Arctic University of Norway
- University of South-Eastern Norway
- University of Stavanger
- NTNU - Norwegian University of Science and Technology
- University of Agder
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- Nature Careers
- University of Inland Norway
- Norwegian University of Life Sciences (NMBU)
- OsloMet
- Western Norway University of Applied Sciences
- 3 more »
- « less
-
Field
-
Research Fellow in Formal Methods for Data Protection in Digital Twins Apply for this job See advertisement About the position Position as PhD Research Fellow in formal methods for data protection in digital
-
both homological and computational methods. A strong track record of high level research in representation theory of finite dimensional algebras or related topics, relative to the time since defending
-
, including public policy and administration, comparative politics, political theory, international relations and research methods. The appointment is for a fixed, non-tenured term of 4 years, and has a 25
-
component corresponding to 30 ECTS, which corresponds to one semester. The remaining six months will be allocated to this formal training. Qualifications and personal qualities: The applicant must hold a
-
theory, international relations and research methods. The appointment is for a fixed, non-tenured term of 4 years, and has a 25% teaching component. The Department teaches in all the sub-fields mentioned
-
or cryogenic electron microscopy (cryo-EM) Determination of protein ligand binding using biophysical methods (SPR, ITC, or related methods) Experience in the following areas is an advantage: Structure-based drug
-
research project within the framework of this announcement, leading up to a completed dissertation Learn relevant methods and theories to be used in the research Complete the obligatory training component of
-
well as on development of plat-forms for running and evaluating prediction models. The PhD candidate will develop methods for integrating heterogeneous data sources—such as climate, environmental, and health surveillance
-
of their fellowship period within the duty component of 25 %. More about the position / Project description The research of the Nuclear Physics group is focused on the study of atomic nuclei under extreme
-
methods for integrating heterogeneous data sources—such as climate, environmental, and health surveillance data—into interpretable spatiotemporal risk models. A key methodological component could be the use