Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- Utrecht University
- University of Twente
- Wageningen University & Research
- University of Amsterdam (UvA)
- University of Twente (UT)
- Eindhoven University of Technology (TU/e)
- Erasmus University Rotterdam
- Maastricht University (UM)
- Amsterdam UMC
- Delft University of Technology
- NIOZ Royal Netherlands Institute for Sea Research
- NLR
- Radboud University
- Radboud University Medical Center (Radboudumc)
- 5 more »
- « less
-
Field
-
the role and function of active mobility (walking, cycling) and micro-mobility options (e.g., moped) to improve health and enhance sustainable mobility options. The collaboration with different European
-
uptake of GNM into APCs; evaluation of the efficacy of GNM in terms of antigen presentation and APC/T-cell crosstalk. Training in cell culture and immune activation, flow cytometry, antigen presentation in
-
Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you curious about complex systems and learning
-
is looking for an aspiring PhD candidate to research causal machine learning and uncertainty quantification for Earth Observation time-series. Currently, predictive AI in Earth Sciences relies heavily
-
the future of quiet, sustainable flight! Background New aerospace concepts like Urban Air Mobility (UAM) introduce air taxis and delivery drones in cities that are densely populated. The human impact of
-
Sciences, and Health Sciences. Through our bachelor’s and master’s degrees, Professional Learning & Development programmes, and interdisciplinary research themes – including Emerging Technologies & Societal
-
and democratic participation of citizens. You will focus on developing adaptive learning systems that enhance the transparency and contestability of AI decisions through personalized, multimodal
-
systems increasingly provide personalized recommendations in domains such as nutrition and lifestyle. However, many recommender and prediction systems rely heavily on opaque machine learning techniques
-
participation of citizens. You will focus on developing adaptive learning systems that enhance the transparency and contestability of AI decisions through personalized, multimodal explanations. Your job AI is
-
Research & Development – love to be in the laboratory and aim to set up experimental facilities. You have experience and/or willing to learn hands-on cell testing via electrochemical characterisation (i-V