Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Germany
- France
- Sweden
- Netherlands
- Portugal
- United Kingdom
- Belgium
- Poland
- Norway
- Spain
- China
- Denmark
- Luxembourg
- Singapore
- Morocco
- Switzerland
- Austria
- Italy
- United Arab Emirates
- Estonia
- Japan
- Romania
- Greece
- Mexico
- Saudi Arabia
- Andorra
- Australia
- Brazil
- Canada
- Finland
- India
- Ireland
- 23 more »
- « less
-
Program
-
Field
- Medical Sciences
- Computer Science
- Economics
- Engineering
- Mathematics
- Science
- Materials Science
- Psychology
- Biology
- Chemistry
- Business
- Education
- Arts and Literature
- Environment
- Earth Sciences
- Electrical Engineering
- Law
- Sports and Recreation
- Humanities
- Linguistics
- Philosophy
- Physics
- Social Sciences
- 13 more »
- « less
-
National University of Science and Technology POLITEHNICA Bucharest, Pitesti Branch | Romania | 18 days ago
research activities in the field of signal processing, artificial intelligence and optimization of electrochemical systems for hydrogen production. The activity focuses on the development and validation
-
, such as pulse design or numerical optimization Background in data-driven or machine-learning approaches relevant to optimal control (e.g., model learning, reinforcement learning) What you will do Take
-
code optimizations that are hard to apply otherwise. Because of this, Tiramisu can generate fast code that outperforms highly optimized code written by expert programmers and can target different
-
control (MPC) under uncertainty for autonomous systems. The research aims to develop state-of-the-art numerical methods for solving challenging belief-space optimal motion planning problems and their
-
-hardware Your Profile: Master and subsequent PhD degree in (astro-)physics, computer science, engineering, or other related fields, with a strong focus on numerical simulations Experience in the development
-
prediction Integration of domain decomposition methods into the learning framework to enable efficient model parallel training Implementation and optimization of GPU-accelerated training pipelines Validation
-
is actively involved in numerous projects. Candidates are expected to demonstrate a strong track record in developing and applying advanced computational methods to optimize the performance
-
dimensionality reduction * development of optimization algorithms and numerical modeling procedures * development of simulation models using commercial packages (CST, ADS, HFSS, etc.) * writing technical reports
-
, you will contribute to impactful research in optimization. About us The department of Mathematical Sciences has about 200 employees and is the largest department of mathematics in Sweden
-
numerical analyses and material characterization), laboratory testing and data analysis towards validation and upscaling, as well as system-level investigations towards commercialization. The latter