Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
- Computer Science
- Engineering
- Statistics
- Biology
- Medical Sciences
- Education
- Mathematics
- Electrical Engineering
- Physics
- Psychology
- Earth Sciences
- Arts and Literature
- Chemistry
- Environment
- Business
- Science
- Social Sciences
- Materials Science
- Design
- Sports and Recreation
- Humanities
- Economics
- 12 more »
- « less
-
Vision Specialized areas: Deep Learning, Generative AI, Prompt Engineering, Conversational AI and Chatbots, Reinforcement Learning Applied domains: Machine Learning for Cybersecurity, AI for 3D
-
coordinating fleets of EVs during large-scale emergency evacuations under energy and infrastructure constraints. To address this challenge, the research will leverage reinforcement learning, deep learning
-
guided dynamically by a vision system. Key areas of investigation include representation learning for deformable objects, reinforcement learning for path planning, and cross-domain alignment. The
-
ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA | Bologna, Emilia-Romagna | Italy | about 1 month ago
Infrastructure? No Offer Description The research activity aims to investigate machine learning (ML) techniques supporting the design, synthesis, and analysis of collective and multi-scale systems, in
-
and applying optimisation methods, such as model predictive control, multi-objective optimisation and, where appropriate, reinforcement learning Investigating suitable model-reduction and approximation
-
in healthcare research. In this role, you'll help architect scalable systems and high-throughput pipelines that support advanced machine learning, reinforcement learning, and foundation model research
-
Vrije Universiteit Amsterdam (VU) | Amsterdam, Provincie Noord-Holland | Netherlands | about 1 month ago
) and statistics. More specifically, the focus is on the development of algorithmic improvements in causal inference and reinforcement learning through the cross fertilization of machine learning and
-
ability to learn? The precise question will be developed with the student. A project may combine evolutionary and behavioural game theory, multi-agent reinforcement learning, agent-based simulation, or
-
ability to learn? The precise question will be developed with the student. A project may combine evolutionary and behavioural game theory, multi-agent reinforcement learning, agent-based simulation, or
-
. • Develop and evaluate artificial intelligence and reinforcement learning approaches for image-guided vascular navigation. • Design experiments, validation strategies, and quantitative performance