Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Portugal
- United Kingdom
- France
- Germany
- Sweden
- Norway
- Netherlands
- Spain
- Poland
- Belgium
- Singapore
- Denmark
- Italy
- Australia
- United Arab Emirates
- Romania
- Czech
- Austria
- Finland
- Ireland
- Switzerland
- Estonia
- Luxembourg
- Lithuania
- Japan
- Morocco
- China
- Latvia
- Canada
- Greece
- Brazil
- Croatia
- Andorra
- Hong Kong
- Europe
- India
- Israel
- Mexico
- Slovenia
- Taiwan
- Vietnam
- Cyprus
- Iceland
- Malta
- Sao Tome and Principe
- Saudi Arabia
- Slovakia
- 38 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Economics
- Biology
- Science
- Materials Science
- Mathematics
- Business
- Chemistry
- Education
- Electrical Engineering
- Psychology
- Earth Sciences
- Environment
- Law
- Arts and Literature
- Physics
- Humanities
- Social Sciences
- Linguistics
- Philosophy
- Sports and Recreation
- 13 more »
- « less
-
, the postdoctoral researcher will be responsible for contributing to the development of advanced methodologies for predicting crystal structures (CSP) based solely on their chemical composition and atomistic modeling
-
20 Mar 2026 Job Information Organisation/Company Warsaw University of Technology Research Field Computer science » 3 D modelling Computer science » Autonomic computing Computer science » Computer
-
good numerical literacy in developing computer code for simulation models and for data analysis and interpretation. About the project The goal of this PhD is to model (Calanus spp.) life history traits
-
characterize their electromagnetic performance. To validate the achieved tuning range and functional performance in laboratory measurements against modeling and simulation results. This position is part of
-
; Giauque et al., 2023). The PhD work is structured around the following key milestones: 1. Implementation and validation of real-gas model: Develop, verify and validate real gas equations of state capable
-
analysis of spatial-omics and imaging data, developing a framework for simulations, simulating epidemics on social networks, building generative models to improve computation time for simulations, and other
-
opportunities to (i) better integrate model and observational data, (ii) represent key physical processes in a short-term forecasting context, and (iii) characterize the uncertainty of these simulators. Where
-
aims to use observations of cloud droplets to improve and evaluate UK regional weather forecasts. You will lead the modelling component of the project whilst drawing on a range of in-situ, radar
-
the development and refinement of Monte Carlo simulation generators to accurately model neutrino interactions with various target materials. Detailed comparisons of these simulations to data from existing neutrino
-
theoretical models and numerical tools (master equations, quantum trajectory simulations) to investigate coupling regimes, dynamical phase transitions, and the effects of collective dissipation on coherence and