Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Germany
- Portugal
- United Kingdom
- France
- Sweden
- Poland
- Norway
- Netherlands
- Belgium
- Denmark
- Austria
- Spain
- Singapore
- Switzerland
- United Arab Emirates
- Italy
- Luxembourg
- Romania
- Australia
- Czech
- Estonia
- Finland
- Canada
- Morocco
- Japan
- Brazil
- China
- Croatia
- Ireland
- Lithuania
- Saudi Arabia
- Slovenia
- 23 more »
- « less
-
Program
-
Field
- Computer Science
- Economics
- Medical Sciences
- Engineering
- Mathematics
- Science
- Biology
- Materials Science
- Business
- Earth Sciences
- Law
- Chemistry
- Education
- Environment
- Linguistics
- Arts and Literature
- Physics
- Psychology
- Social Sciences
- Electrical Engineering
- Humanities
- Sports and Recreation
- Design
- Philosophy
- 14 more »
- « less
-
14 Jan 2026 Job Information Organisation/Company Academic Europe Research Field Medical sciences » Other Medical sciences » Health sciences Educational sciences » Teaching methods Researcher Profile
-
individual computing devices to the overall architecture, including a focus on applications, and training methods - across multiple technological platforms - photonics, electronics, biological neurons
-
and good knowledge of opensource development practices; • solid understanding in at least one of the following areas: numerical methods, computational modeling, machine learning or continuum mechanics
-
related field Strong background in numerical methods and machine learning Proficiency in at least one programming language (Python, Julia, C++, …) Good analytical skills Good organizational skills and
-
NASA, Airbus, and Rolls-Royce – to develop cutting-edge, data-enhanced numerical methods that will transform how future aircraft are conceived and certified. You will work within the PinhoLab (led by
-
Job Description DTU Space invites applications for a three-year PhD position focused on the study of galaxies, galactic dynamics, stellar streams, dark matter, and numerical simulations. PhD
-
Tensorflow or Pytorch is advantageous Experience in numerical methods for partial differential equations is beneficial Effective communication skills and an interest in contributing to a highly international
-
equations, Bayesian inference, large-scale computational methods, bioinformatics, data science, machine learning, optimisation, numerical methods. Please read more about the position and our department on our
-
of multi-physics and mixed-dimensional PDEs. The goal of the research is the development and analysis of computational methods combined with model order reduction methods, including data-driven ones
-
involves mathematical modeling and numerical simulation, but also the analysis of experimental datasets for model validation. Your Profile: A Masters degree with a strong academic background in physics