Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- Germany
- Morocco
- Netherlands
- Sweden
- Denmark
- United Kingdom
- Spain
- United Arab Emirates
- Finland
- Belgium
- Portugal
- Saudi Arabia
- Poland
- Switzerland
- Luxembourg
- Brazil
- China
- Ireland
- Czech
- Hong Kong
- Australia
- Austria
- Greece
- Japan
- Taiwan
- Cyprus
- Italy
- Canada
- Latvia
- Mexico
- Norway
- Romania
- Singapore
- Worldwide
- 26 more »
- « less
-
Field
- Computer Science
- Biology
- Engineering
- Medical Sciences
- Science
- Chemistry
- Materials Science
- Economics
- Mathematics
- Electrical Engineering
- Environment
- Arts and Literature
- Humanities
- Philosophy
- Law
- Physics
- Psychology
- Business
- Earth Sciences
- Education
- Linguistics
- Social Sciences
- Sports and Recreation
- 13 more »
- « less
-
EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The group ofSebastian Stich works on the design and analysis of optimization methods
-
North Africa that will optimize for maximum crop yields with minimal water and energy consumption and minimal capital costs. The candidate will regularly present research results at meetings and workshops
-
for chemical optimization through the massive use of digital technologies. The research fellow will join a multi-disciplinary and international team at the research institute CEISAM, working on the development
-
material quality. The resulting models will act as a predictive tool for process optimization and design improvements, providing a foundation for scalable industrial applications. Job Description: The
-
properties. In particular, we will explore the non-linear effects of chiral materials and their rectifying properties at high frequencies. The project also foresees the integration of optimal working materials
-
learning, safety-critical control, probabilistic modeling, verification, or optimization; Excellent communication skills in English and the ability to work both independently and collaboratively in
-
applications. These smart winglets are designed to optimize aerodynamic performance by responding to temperature variations and incorporating active thermal control for real-time configuration adjustments
-
computationally efficient at simulating permanent magnet structures, and capable of leading to the globally optimal solution of the underlying design optimization problem. We aim to combine gradient-based
-
University, to begin as early as July 1, 2025. Topics include the experimental quantum simulation of chemical and condensed-matter systems using 1D and 2D ion arrays, and the development and optimization
-
Two-year postdoc position (M/F) in signal processing and Monte Carlo methods applied to epidemiology
. To that aim, both Stein-based bilevel optimization, empirical Bayesian and unsupervised deep learning approaches will be considered. The recruited postdoc researcher will tackle both implementation challenges