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)
- Leiden University
- Radboud University Medical Center (Radboudumc)
- Eindhoven University of Technology (TU/e); Eindhoven
- Leiden University; 's-Gravenhage
- NIOZ Royal Netherlands Institute for Sea Research
- Radboud University Medical Center (Radboudumc); Nijmegen
- University Medical Center Utrecht (UMC Utrecht)
- University Medical Center Utrecht (UMC Utrecht); Utrecht
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- University of Twente
- University of Twente (UT)
- Wageningen University & Research
- Wageningen University and Research Center
- 8 more »
- « less
-
Field
-
power system operations, necessitating more complex and adaptive decision-making processes for system operators. While some prototypical power system optimization problems have been adapted for quantum
-
, develop innovative therapeutic strategies, and optimize drug delivery to improve human health. Our teams combine expertise in nanomedicine, RNA biology, organoid models, and the tissue microenvironment
-
advanced computer vision, dedicated lighting systems, optical communication, and robust control and guidance algorithms. You will work on: Design and implement computer vision algorithms for accurate landing
-
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
-
/pharmaceutical-technology-and-biopharmacy/ ). Researchers at GRIP aim to understand the molecular basis of disease, develop innovative therapeutic strategies, and optimize drug delivery to improve human health
-
dimension of uncertainty in power system operations, necessitating more complex and adaptive decision-making processes for system operators. While some prototypical power system optimization problems have
-
strategies (e.g. predictive or machine learning approaches) to improve performance and reduce costs. Collaborating with industrial partners on design optimization, life-cycle analysis, and business case
-
, you will work at the intersection of data science, epidemiology, and clinical research, developing innovative methods to optimize the use of rich real-world data. You will be part of a collaborative
-
on design optimization, life-cycle analysis, and business case development. Publishing results in journals and conferences, and engaging with stakeholders through workshops and demonstrations. The position is
-
infections. As a post-doctoral researcher, you will work at the intersection of data science, epidemiology, and clinical research, developing innovative methods to optimize the use of rich real-world data. You