Sort by
Refine Your Search
-
Listed
-
Employer
- Eindhoven University of Technology (TU/e)
- University of Twente
- Delft University of Technology (TU Delft)
- Wageningen University & Research
- Maastricht University (UM)
- Erasmus University Rotterdam
- University of Twente (UT)
- Erasmus MC (University Medical Center Rotterdam)
- KNAW
- NLR
- RiboPro B.V.
- Tilburg University
- University Medical Centre Groningen (UMCG)
- University of Amsterdam (UvA)
- Utrecht University
- Vrije Universiteit Amsterdam (VU)
- 6 more »
- « less
-
Field
-
optimization methods for run-time network configuration and control. You will design efficient and lightweight learning-based techniques for automated scheduling, network resource allocation, and parameter
-
and decentralised data-center capabilities to optimize urban performance. This project aims to explore how telecommunications networks and urban infrastructures interdepend and co-evolve, and to
-
Knowledge of alternative propulsion systems (hydrogen, electric, hybrid) Familiarity with ATM concepts, airspace design, or traffic flow management Experience with optimization or operational research methods
-
optimization-based updates (e.g., stochastic gradient methods and Bayesian learning), Probabilistic performance guarantees, leveraging tools from stochastic systems, RKHS-based learning, and Bayesian inference
-
CHP units, the wider energy system risks losing a crucial flexibility resource. Through strategic integration hybrid energy storage systems with greenhouse operations via optimization methods, control
-
EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a PhD student who would like to optimize the use of real-world data (RWD
-
this project, you will investigate the optimal conditions and underlying mechanisms of Imagery Rescripting, a treatment aimed at alleviating distressing memories. You will begin by examining how
-
, patient motion, and more. Today, these parameters are either manually configured, heuristically optimized, or compensated post hoc using multi-level calibration scans or corrections, which introduces
-
, you will work with partners at Amsterdam UMC and Radboudumc. You will start by building on existing methods for evaluating single tests. Then, you will create a framework for health and economic
-
candidates the opportunity to work at the forefront of glyconanotechnology to fill gaps in cancer immunotherapy, while benefiting from tailored training and international secondments across the consortium