Sort by
Refine Your Search
-
Listed
-
Employer
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- University of Groningen
- Eindhoven University of Technology (TU/e)
- Delft University of Technology (TU Delft); yesterday published
- Eindhoven University of Technology (TU/e); Eindhoven
- Leiden University
- Radboud University Medical Center (Radboudumc)
- University Medical Center Utrecht (UMC Utrecht)
- University of Amsterdam (UvA)
- University of Twente (UT)
- Delft University of Technology (TU Delft); 26 Sep ’25 published
- Eindhoven University of Technology (TU/e); today published
- Leiden University; 's-Gravenhage
- Maastricht University (UM)
- Maastricht University (UM); 26 Sep ’25 published
- NIOZ Royal Netherlands Institute for Sea Research
- Nature Careers
- Princess Máxima Center for Pediatric Oncology
- Princess Máxima Center for Pediatric Oncology; Utrecht
- Radboud University Medical Center (Radboudumc); Nijmegen
- University Medical Center Utrecht (UMC Utrecht); Utrecht
- University Medical Center Utrecht (UMC Utrecht); yesterday published
- University of Amsterdam (UvA); Amsterdam
- University of Amsterdam (UvA); today published
- University of Amsterdam (UvA); yesterday published
- University of Groningen; Groningen
- Wageningen University & Research
- 18 more »
- « less
-
Field
-
batteries (solid-state) via a physics-informed data-driven approach. Accurate prediction of BESS’s electric and thermal behaviours. Optimization of BESS design for high energy density, durability and safety
-
in Kenya. The insights gained from your research will contribute directly to optimizing the deployment of spatial repellents to reduce malaria transmission. You will be part of a diverse and
-
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
-
-up. In the ZonMW-funded AI for EVAR project, we develop multi-modal models for optimized selection of treatment before, and follow-up after EVAR. You will implement and advance multimodal deep learning
-
of HBGI interventions at three European sites; · Monitoring of physical, ecological, and social performance compared to traditional grey infrastructure; · Iterative design optimization in
-
real-world test flights to validate system 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
-
initiatives and data-driven reaction optimization. This is what you are going to do This research offers a unique opportunity for highly multidisciplinary exploration within a diverse and collaborative team
-
, which integrates healthcare, research and education on pediatric cancer, in a single location in Utrecht. Our institute aims to provide the highest level of care for all children with cancer, with optimal
-
two one-year postdoctoral positions available, centered on our RoboChem initiatives and data-driven reaction optimization. This is what you are going to do This research offers a unique opportunity for
-
issues. Thus, there is a growing demand for efficient and reliable digital CIM-based neuromorphic system design which includes techniques such as reliability-aware mapping and optimization techniques as