Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Norway
- France
- United Kingdom
- Portugal
- Sweden
- Netherlands
- Germany
- Denmark
- Australia
- Belgium
- Poland
- Spain
- Finland
- Austria
- Singapore
- Canada
- Ireland
- Czech
- Italy
- China
- Estonia
- Luxembourg
- Japan
- Romania
- Switzerland
- Morocco
- Latvia
- United Arab Emirates
- Cyprus
- Hong Kong
- Bulgaria
- Israel
- Lithuania
- Malta
- Mexico
- Andorra
- Bangladesh
- Barbados
- Europe
- Greece
- India
- New Zealand
- Saudi Arabia
- Slovakia
- 35 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Engineering
- Biology
- Science
- Business
- Mathematics
- Materials Science
- Chemistry
- Electrical Engineering
- Education
- Social Sciences
- Earth Sciences
- Humanities
- Psychology
- Arts and Literature
- Environment
- Linguistics
- Sports and Recreation
- Physics
- Law
- Philosophy
- Design
- 14 more »
- « less
-
-based techniques (e.g., deep neural networks) will be used to automatically learn the system dynamics and the modelling errors, as well as to obtain an automatic tuning of the cost parameters/constraints
-
behaviours of multi-agent systems in response to changing internal states and external environmental conditions. Both traditional model-based approaches and modern learning-based control techniques will be
-
for a truly circular wind energy sector. A key component of this mission is developing predictive "look-ahead" control capabilities based on LiDAR technology. Your Mission: Advanced LES & Research
-
of both physics-based and measurement-based models, as well as validation against experimental data. The models will be used to analyze how different design choices affect electromagnetic compatibility (EMC
-
to implement dynamic force control to achieve faster and more tests. The main part of the works of this post-doc position will thus consist in developing a sensorized (instrumented) tip that will
-
theory, modeling, and AI-assisted optimization activities within the consortium. Reporting and dissemination of the results. Share this opening! Use the following URL: https://jobs.icfo.eu/?detail=1074
-
deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian You will be part of a dynamic research team working on topics relevant
-
Université Paris-Saclay GS Life Sciences and Health | Fontenay aux Roses, le de France | France | 15 days ago
. We have also developed highly accurate structural models of control protein complexes in association with Rad51 filaments. We will use a multidisciplinary approach based on genetics, molecular biology
-
objectives are to process and characterize plant-based biomolecules from industrial food by-products and the development enzymatic extractive and precipitation models to maximize recovery efficiency and
-
learning and LLM frameworks like LangChain and agent-based LLM frameworks, Retrieval Augmented Generation (RAG). Experience with fine-tuning, deploying, and evaluating Large Language Models. Experience with