Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
segment of their class with respect to academic credentials. We seek a candidate with a demonstrated (a published paper, masters thesis topic, conference presentation, internship or similar) good knowledge
-
project “Embedded Sufficient Statistics” . This position is placed at Integreat - Norwegian Centre for Knowledge-driven Machine Learning is a Centre of Excellence, funded by the Research Council of Norway
-
. The Centre runs a series of multidisciplinary studies involving hospital departments in Oslo and several research groups at the University of Oslo. The main goal is to develop tools and knowledge for precision
-
societal mission, contributing to knowledge development, education, and enlightenment that promote sustainable, fair, and knowledge-based societal development. Committed colleagues in a good working
-
& Jordan / UiO via Unsplash Jarli & Jordan / UiO We can offer you Exciting and meaningful tasks in an organization with an important societal mission, contributing to knowledge development, education, and
-
the Section of Catalysis and Organic Chemistry. The researcher will also engage in knowledge exchange with international collaborators of the project, including possible trips to overseas laboratories and
-
the closing date. Only applicants with an approved doctoral thesis and public defense are eligible for appointment. Applicants must document knowledge of a programming language for data analysis such as Python
-
between the Reliable Systems (PSY) research group, which works in formal methods, programming language theory and digital twins, and the Data and Knowledge Management (DKM) research group, which works in
-
MATLAB or Python) Desired qualifications: The ideal candidate should have: Demonstrated knowledge of fluid dynamics Experience with anisotropic viscous flow Experience with ice texture formation Skills in
-
the SFF Integreat, The Norwegian Centre for Knowledge-driven Machine Learning (ML) , a centre of excellence funded by RCN and in operation until 2033. The project PI and team are also in close collaboration