Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Portugal
- United Kingdom
- Germany
- France
- Sweden
- Norway
- Spain
- Netherlands
- Singapore
- Belgium
- Poland
- Denmark
- Italy
- Australia
- United Arab Emirates
- Czech
- Switzerland
- Finland
- Romania
- Luxembourg
- Austria
- Ireland
- Lithuania
- Estonia
- Japan
- Morocco
- Canada
- China
- Greece
- Brazil
- Croatia
- Andorra
- Hong Kong
- India
- Israel
- Latvia
- Mexico
- Slovenia
- Taiwan
- Vietnam
- Cyprus
- Europe
- 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
- Electrical Engineering
- Education
- Psychology
- Environment
- Earth Sciences
- Arts and Literature
- Physics
- Law
- Humanities
- Linguistics
- Social Sciences
- Philosophy
- Sports and Recreation
- 13 more »
- « less
-
faculty Position Location: Taipei, T'ai-pei, Taiwan [map ] Subject Areas: Atmospheric Science Modeling & Simulation Climate Science Climate Change Appl Deadline: 2026/03/31 23:59:59** (posted 2026/01/25
-
Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 8 hours ago
), financed by national funds through FCT Workplan: The candidate(s) will have experience in mathematical modeling and programming for nonlinear Ordinary and Partial Differential Equations. He/she will study
-
of manufactured parts, particularly in terms of geometrical accuracy, microstructural control, and mechanical performance. This PhD project aims to develop a Multiphysics model and simulation to gain in-depth
-
communications and system-level simulation models, with a focus on optical communications and autonomous smart satellite mission concepts. Key responsibilities include defining model requirements with SME partners
-
Experience with simulation tools (e.g., COMSOL, FEM, MATLAB, or similar software) Knowledge of optimisation methods, data-driven modelling, or control strategies is advantageous Understanding
-
on model approach to improve vegetation’s impact on energy fluxes and related permafrost dynamics improve the process-based fire model SPITFIRE to better simulate fire effects on tundra vegetation and
-
to align biological protocols with measurement requirements, and with the modelling PDRA to support model parameterisation and interpretation of simulation results. Maintain accurate experimental records
-
learning models to predict ion-exchange isotherm parametersIntegration of predicted parameters into the CADET chromatography simulation framework Simulation and analysis of batch and gradient elution
-
in modelling and simulation. The successful applicant will play a key role in teaching and practice-oriented research, with a focus on industry engagement and interdisciplinary applications. In
-
methods for multiphase flow models Integrate experimental, pilot-scale, or high-fidelity simulation data into model calibration and validation workflows Design and run numerical simulations of multiphase