Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oslo
- Nord University
- University of Bergen
- University of Stavanger
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- NTNU Norwegian University of Science and Technology
- OsloMet – Oslo Metropolitan University
- University of Agder
- University of Inland Norway
- OsloMet - storbyuniversitetet
- Simula UiB
- UiT The Arctic University of Norway
- University of Southern Denmark
- 3 more »
- « less
-
Field
-
quantification, in particular the theory and methods known as predictive Bayes. Predictive Bayes theory involves getting Bayesian type uncertainty for parameters given data (i.e., a posterior type distribution
-
., probability, analysis), eager to conduct cutting edge research in the field of uncertainty quantification, in particular the theory and methods known as predictive Bayes. Predictive Bayes theory involves
-
to conduct cutting edge research in the field of uncertainty quantification, in particular the theory and methods known as predictive Bayes. Predictive Bayes theory involves getting Bayesian type uncertainty
-
oral and written communication skills in English. Candidates without a master’s degree have until June 30, 2026 to complete the final exam. Desired qualifications: Background in probability theory and
-
communication skills in English. Desired qualifications: Documented research experience in algebraic topology. Independent research skills. Broad interests including some of the following: Higher category theory
-
of the following: Higher category theory, stable homotopy theory, simplicial methods. An interest in computer algebra and programming. Relevant research experience (for instance in form of a Master’s thesis in
-
the final exam. Desired qualifications: Background in probability theory and Monte Carlo methods, and familiarity with stochastic processes. Strong background in hydrodynamic, nonlinear and stochastic wave
-
of Artificial Intelligence (AI), and therefore a fundamental force of technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories, methods, models and
-
. Broad interests including some of the following: Higher category theory, stable homotopy theory, computer algebra. All candidates and projects will have to undergo a check versus national export
-
Einsteins theory of General Relativity on cosmological scales. The data it will collect will consist of locations of tens of millions of galaxies with accurate spectroscopic redshifts together with billions