Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- ;
- Leibniz
- Nature Careers
- Princeton University
- NIST
- UiT The Arctic University of Norway
- University of California, San Diego
- University of Oslo
- ; Swansea University
- Chalmers University of Technology
- Cranfield University
- Empa
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- Monash University
- University of California, Los Angeles
- University of Glasgow
- University of Nebraska–Lincoln
- University of Oklahoma
- University of Sheffield
- University of South-Eastern Norway
- University of Southern California (USC)
- University of Washington
- 13 more »
- « less
-
Field
-
Fusion is a multiphysics environment, and their interdependency makes predictions extremely challenging. Components such as breeder blankets require nearly real-time simulations at the design and
-
) Developing strategies for decadal predictions of the Baltic Sea climate Analysing the skill of decadal predictions Analysing large ensembles of multi-decadal scenario simulations Investigating natural climate
-
predictions and multi-decadal projections of climate change and related impacts on marine ecosystems, covering the basin scale and the coastal areas, up to, and including, development and demonstration
-
research position. The project assistant will apply their biomedical and AI knowledge to conduct a feasibility study developing AI tools to predict properties of lipid formulations for drug delivery
-
Science (LSE), is seeking a researcher to work on designing model ensembles that can efficiently explore the full range of plausible responses consistent with a greenhouse gas emissions scenario
-
to transform our understanding and prediction of climate tipping points. We welcome candidates with expertise in climate modelling, ideally including experience with General Circulation Models (GCMs), Earth
-
an outstanding Postdoctoral Research Scientist to undertake research isolating and understanding the most predictable components of the atmosphere and improving their representation in sub-seasonal prediction
-
) ensembles by improving coastal hazard prediction in 5-7 days. SEA-COAST is funded by the Weather and Climate Science for Service Partnership Southeast Asia (WCSSP SEA) programme, managed by the UK Met Office
-
Keywords: theoretical biophysics, machine learning, kinematics, (structural) biology. Context. Machine learning techniques have made significant progress in prediction of favourable structures from
-
and scheduling for Department of Music, including production, teaching, and rehearsal scheduling. Coordinates applied music lesson and ensemble fees each semester using a multi-tiered and conditional