Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of Oslo
- National University of Singapore
- Nanyang Technological University
- CCMAR – Centro de Ciências do Mar do Algarve
- Centro de Engenharia Biológica da Universidade do Minho
- LNEC, I.P.
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UNIVERSITY OF SOUTHAMPTON
- Høgskulen i Volda
- Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S)
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- NTNU - Norwegian University of Science and Technology
- Simula UiB
- University of Birmingham
- University of Birmingham;
- University of British Columbia
- University of Maryland, Baltimore
- University of North Carolina at Greensboro
- Université Gustave Eiffel
- 9 more »
- « less
-
Field
-
should have an interest in model-based design and analysis techniques. They will apply and develop formal methods and knowledge representation techniques for industrial systems. The candidate will acquire
-
for simulation and modeling of wave dynamics, and for uncertainty quantification of extreme events. The project will combine stochastic mathematical models of wave physics with advanced computational methods
-
collaboratively within an interdisciplinary research environment. Experience or interest in energy system/environmental modeling or large-scale data analysis is an advantage Fluent oral and written communication
-
over the parameter space) without specifying a model nor a prior. Such methods can in principle be applied to machine learning algorithms in order to get uncertainty estimates for parameters governing
-
, or related fields Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system Fluent oral and written communication skills in English Desired
-
for appointment. Fluent oral and written communication skills in English Relevant experience in one or more: Experience with light curve analysis and modeling with spots and faculae Experience with studying surface
-
, based on detailed studies of Earth and the solar system, is developing predictive models to identify habitable planets around other stars. Within three different research themes: (1) Planets and Early
-
are eager to carry out research on statistical issues related to models and multiple sources of data describing ecological dynamics. The PhD project will address the following aims: 1) Develop efficient tools
-
in particular artificial intelligence (AI)—to study genetic and epigenetic alterations in cancer. ICGI is recognised for its work in digital pathology, where AI is used to develop new models
-
at the Institute of Theoretical Astrophysics at Blindern, Oslo. Job description Constraining gravity and cosmological models using the Euclid survey, supervised by Assoc. Prof. Hans Winther. The Euclid