Sort by
Refine Your Search
-
Listed
-
Employer
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- Eindhoven University of Technology (TU/e)
- University of Groningen
- Delft University of Technology (TU Delft); yesterday published
- Eindhoven University of Technology (TU/e); today published
- NIOZ Royal Netherlands Institute for Sea Research
- Radboud University Medical Center (Radboudumc)
-
Field
-
learning, to accelerate CFD optimization and enable adaptive control strategies for complex urban wind conditions. From an industrial standpoint, the objective is to deliver a cost-effective and efficient
-
conditions. To achieve this, the project explores advanced machine learning approaches, including surrogate modeling and reinforcement learning, to accelerate CFD optimization and enable adaptive control
-
applying quantum computing to addressing real-world challenges? Join us to develop quantum optimization methods that support the transition to sustainable and resilient electrical power systems! Information
-
performance on an innovative VTOL platform (https://aerogriduav.com/ ). AI models to predict ship motion to optimize landing timing. You will work at the MAVLab, which is part of the Control & Simulation
-
on wind turbines and ships. This involves advanced computer vision, dedicated lighting systems, optical communication, and robust control and guidance algorithms. You will work on: Design and implement
-
simulations including heat pumps, buffer storage, and building demand. Using monitoring data from the experimental façade at TU Delft’s Green Village to calibrate and validate models. Investigating control
-
, or similar) and data analysis. Familiarity with heat pump systems, building energy simulations, or control/optimization is an advantage. Track record of scientific publications in relevant fields (thermal
-
In this Postdoc you will investigate methods for risk-aware navigation among decision-making agents, using learning and optimization, and apply them to self-driving cars and teams for quadrotors
-
develop and implement mosquito behavior assays in malaria-endemic settings to investigate how vector control interventions, such as spatial repellents, influence mosquito behavior. You will study host
-
-robot interfaces, optimal control, and Robot Operating System (ROS). TU Delft (Delft University of Technology) Delft University of Technology is built on strong foundations. As creators of the world