Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Bergen
- University of Oslo
- NTNU - Norwegian University of Science and Technology
- UiT The Arctic University of Norway
- University of South-Eastern Norway
- NORCE
- Nord University
- University of Stavanger
- NHH Norwegian School of Economics
- Norwegian Meteorological Institute
- University of Agder
- University of Inland Norway
- 2 more »
- « less
-
Field
-
areas within Energy, Climate and Environment and Regional Growth, and integrates the researchers from the Electrical Power Systems (EPS) research group (RG) and Applied Modeling and Control (AMOC) RG
-
processes as droplets/condensates wet membrane compartments in cells. Numerical simulations and theoretical membrane models will be developed, aiming to couple viscous interfacial fluid flow, elastic
-
the Focus on Practice project, we have implemented micro-practice and point-practice in the teacher education program, and the PhD fellow will research these models. This knowledge is crucial
-
; mathematical modelling of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; causal inference and time-to-event analysis; and statistical machine
-
, utilisation of natural resources, shipping, predictive modelling, or climate risk Core courses in probability and statistical inference, optimisation, microeconomics, scientific methods Elective courses in
-
. To obtain experimental information under such conditions is crucial in order to constrain and improve theoretical nuclear structure models, and to understand how elements heavier than iron are formed in
-
Additional preferred expertise and experience Experience with longitudinal data analysis and advanced statistical methods (e.g. linear and generalized mixed-effects models, growth curve analysis and structural
-
of microfabrication fundamentals. Experience with CMOS chip design, or proficiency in relevant EDA tools such as Cadence Virtuoso, Tanner EDA, L-Edit. Experience in Multiphysics modelling and simulation with COMSOL
-
; mathematical modelling of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; causal inference and time-to-event analysis; and statistical machine
-
nuclear structure models, and to understand how elements heavier than iron are formed in explosive stellar environments. The current project is closely related to the research activity “Nuclear Properties