Sort by
Refine Your Search
-
Employer
- Delft University of Technology (TU Delft)
- Utrecht University
- Eindhoven University of Technology (TU/e)
- Leiden University
- Radboud University Medical Center (Radboudumc)
- University of Groningen
- Wageningen University & Research
- Erasmus University Rotterdam
- Radboud University
- University of Twente
- University of Twente (UT)
- 1 more »
- « less
-
Field
-
Hey machine learning enthusiast with a love for physics and complex systems, will you help us develop a new generation of road traffic prediction methods? Job description Road traffic is a highly
-
-stage non-small cell lung cancer (NSCLC), with a primary focus on biomarker discovery, development and validation. Your work will directly bridge laboratory findings with clinical application
-
internet allowance) and attention for good workplaces. The University will also provide you with a laptop and a mobile telephone. For more information about employment conditions, see https
-
, subjective user feedback, and environmental data. The research will involve machine learning, human-centred experimentation, real-time comfort prediction, and the integration of intelligent climate control
-
, and environmental data. The research will involve machine learning, human-centred experimentation, real-time comfort prediction, and the integration of intelligent climate control systems into vehicle
-
executed. In close collaboration with PhD researchers and project partners from TUM and ETH, you will contribute to the development of novel control and learning methods for aerial manipulators and multi
-
and groups of people, addressing large-scale issues such as health, mobility, and sustainability through iterative, circular research-through-design with strategic stakeholder alliances. The position is
-
preparedness. Organise and facilitate stakeholder interviews, learning workshops, and validation sessions, e.g. to identify good practices and transferable insights. Act as an embedded researcher, ensuring
-
systems. The selected candidate will additionally teach within the department of media and communication and be expected to contribute by means of publication development and grant proposal writing work