Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- France
- Sweden
- Germany
- United Kingdom
- Portugal
- Singapore
- Netherlands
- Italy
- Norway
- Denmark
- Belgium
- Spain
- United Arab Emirates
- Australia
- Luxembourg
- Poland
- Austria
- Hong Kong
- Canada
- Czech
- Ireland
- Romania
- China
- Worldwide
- Cyprus
- Estonia
- Slovakia
- Switzerland
- Finland
- India
- Japan
- Malta
- Morocco
- Andorra
- Bulgaria
- Saudi Arabia
- Armenia
- Europe
- Greece
- Mexico
- New Zealand
- Vietnam
- 33 more »
- « less
-
Program
-
Field
-
Groningen as a PhD student. Your tasks Develop a bird inspired algorithm and robot capable of magnetic navigation like a bird using the guidance, navigation and control framework as a robotics basis. Develop
-
infrastructure, including ASCENT, our vertical takeoff and landing (VTVL) hopper with a bi-liquid propulsion system, currently in development. One of our research branches focuses on intelligent algorithms
-
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The goal is to develop and test algorithms and control strategies
-
the design of efficient numerical algorithms, the development and extension of the lifex library, and the analysis of simulation results. The goal is to advance predictive, clinically relevant computational
-
Engineering or related fields. Be enrolled in a doctoral program in the scientific area of Electrical Engineering. Willingness to work in the developing of signal processing and machine learning algorithms
-
16 Apr 2026 Job Information Organisation/Company CNRS Department Laboratoire d'Informatique de Paris-Nord Research Field Computer science Mathematics » Algorithms Researcher Profile First Stage
-
) to develop accelerated AI, machine learning, and robotics algorithms with a strong focus on computational efficiency, memory reduction, and energy-aware deployment. The role targets foundation models
-
guidance, navigation, and control (GNC) systems. The successful candidate will develop and validate Bayesian and non-Gaussian estimation algorithms, data assimilation methods, and tracking frameworks
-
, this new algorithm can be compared to other state-of-the-art methods on the benchmarks developed. • WP3. This final, more exploratory component aims to study new processes for generating solutions to a
-
departments are Hadron Physics and QCD as well as Nuclear Astrophysics and Structure. The Hot and Dense QCD matter department is looking for a Research Software engineer for Theory (all genders) Posting ID