Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- Portugal
- Germany
- Sweden
- United Kingdom
- Norway
- Poland
- Austria
- Netherlands
- Luxembourg
- Spain
- United Arab Emirates
- Belgium
- Czech
- Denmark
- Singapore
- Switzerland
- Italy
- Japan
- Australia
- Romania
- Canada
- Saudi Arabia
- Estonia
- Finland
- Hong Kong
- Iceland
- Ireland
- Andorra
- Armenia
- China
- Croatia
- Morocco
- Slovakia
- Taiwan
- Uzbekistan
- Worldwide
- 28 more »
- « less
-
Program
-
Field
- Computer Science
- Economics
- Medical Sciences
- Engineering
- Mathematics
- Science
- Biology
- Materials Science
- Law
- Business
- Education
- Environment
- Chemistry
- Psychology
- Arts and Literature
- Physics
- Earth Sciences
- Linguistics
- Social Sciences
- Electrical Engineering
- Sports and Recreation
- Humanities
- Philosophy
- 13 more »
- « less
-
, Organization and Interdisciplinary approach. Good skills in numerical methods and statistical analysis is required, very good English (written/spoken). Where to apply Website https://emploi.cnrs.fr/Offres
-
Role: Postdoctoral Research Associate in Numerical Analysis Grade and Salary: Grade 7 - £37,694 - £47,389 FTE and working pattern: Full-time (35 hours per week), Fixed for 4 Months Rewards and
-
simulation. A significant part of the work will involve scientific programming, development of numerical methods, and in-depth physical analysis of flow phenomena. The ideal candidate is passionate about new
-
national and international research projects, development of competences in modern design methods, numerical calculations, and the implementation of research and development work, as well as improvement
-
radiochemistry State of the art In 2020, about 2.7 million people in the EU were diagnosed with cancer, and nearly 1.3 million died from it. One method of treating cancer is targeted radionuclide therapy (TRT) [1
-
numerical methods for the inverse design of nanophotonic structures enabling broadband, multiparameter sensing in fiber-based systems. The project is a collaboration between AMOLF, TU Eindhoven, and
-
and model explainability methods. Strong software engineering practices: Git, reproducible experiments, modular code, deploying models in cloud (AWS/GCP) and containerized services (Docker, Kubernetes
-
experimental data with numerical models. Ability to use specialised software and computational tools supporting CFD modelling, as well as basic knowledge of model verification and validation methods using
-
regimes. This PhD project aims to develop predictive pore network models integrated with thermodynamics and upscaling methods toward reservoir-scale applications. We seek candidates with a strong background
-
electromagnetismo. -Desarrollo de métodos numéricos para el diseño eficiente de dispositivos en electromagnetismo. Development of the following project tasks: - Implementation in C++ of numerical methods in