Sort by
Refine Your Search
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- Utrecht University
- University of Amsterdam (UvA)
- University of Groningen
- Eindhoven University of Technology (TU/e)
- Wageningen University & Research
- Leiden University
- European Space Agency
- University of Twente (UT)
- Vrije Universiteit Amsterdam (VU)
- Maastricht University (UM)
- Radboud University
- Erasmus University Rotterdam
- Naturalis
- Radboud University Medical Center (Radboudumc)
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- University Medical Center Utrecht (UMC Utrecht)
- University Medical Centre Groningen (UMCG)
- University of Twente
- University of Utrecht
- ARCNL
- Erasmus MC (University Medical Center Rotterdam)
- Erasmus University Rotterdam (EUR)
- KNAW
- NIOZ Royal Netherlands Institute for Sea Research
- Princess Máxima Center for Pediatric Oncology
- SRON
- Tilburg University
- Universiteit Leiden
- 19 more »
- « less
-
Field
- Computer Science
- Biology
- Engineering
- Economics
- Medical Sciences
- Chemistry
- Earth Sciences
- Science
- Materials Science
- Mathematics
- Humanities
- Philosophy
- Psychology
- Business
- Physics
- Social Sciences
- Sports and Recreation
- Arts and Literature
- Education
- Environment
- Design
- Electrical Engineering
- Law
- Statistics
- 14 more »
- « less
-
field predictions into numerical coastal dune models. You will start by evaluating current wind field predictions from the coastal dune model AeoLiS by comparing model output with existing field
-
equity. Experience with eye-tracking, user-centred design, and/or health-app evaluation is an advantage. The candidate should be able to work independently while collaborating effectively in
-
. The research will also investigate how autonomous vessels affect collaboration and dependencies among stakeholders. Using agent-based modelling and scenario analyses, the researcher will evaluate alternative
-
of four substantive research pillars and a work package on knowledge transfer. This vacancy concerns a postdoctoral position within Pillar 4. You will work closely with the PhD candidates in the other
-
-modelling study evaluating how the implementation strategies affect health outcomes across socioeconomic subgroups, and their potential to contribute to universal health coverage. Co-authoring peer-reviewed
-
University of Twente, and Maastricht University. Working closely with a PhD candidate and the project's supervisory team, you will design, train, and iteratively refine the CLARA AI agent — bridging cutting
-
-of-concept studies, implementing prototypes and evaluating them on suitable simulated and/or real biological datasets; comparing accuracy, scalability, resource requirements and scientific usefulness with
-
(e.g., walking, cycling) related physical activity; finetuning, evaluating, and improving model performance using local data and ensuring explainability, fairness, and robustness of the model outputs
-
before, during and after training, and evaluate these systems in real-world studies. The details of the work plan may be adjusted depending on the profile of the preferred candidate; there is budget
-
to conduct research autonomously General interest in space and space research Ability to gather and share relevant information Behavioural competencies Education You must have completed and obtained your PhD