Sort by
Refine Your Search
-
Employer
- Delft University of Technology (TU Delft)
- Utrecht University
- Leiden University
- Eindhoven University of Technology (TU/e)
- University of Twente (UT)
- University of Groningen
- European Space Agency
- Maastricht University (UM)
- University of Amsterdam (UvA)
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- University of Twente
- Erasmus University Rotterdam
- University of Utrecht
- ARCNL
- Amsterdam UMC
- NIOZ Royal Netherlands Institute for Sea Research
- Princess Máxima Center for Pediatric Oncology
- Radboud University
- Radboud University Medical Center (Radboudumc)
- SRON
- Tilburg University
- Universiteit Leiden
- University Medical Center Utrecht (UMC Utrecht)
- 15 more »
- « less
-
Field
- Computer Science
- Engineering
- Biology
- Economics
- Medical Sciences
- Chemistry
- Earth Sciences
- Science
- Mathematics
- Philosophy
- Psychology
- Social Sciences
- Sports and Recreation
- Arts and Literature
- Business
- Environment
- Humanities
- Materials Science
- Electrical Engineering
- Law
- Physics
- Statistics
- 12 more »
- « less
-
Rijkswaterstaat, ProRail, Schiphol Airport, Port of Rotterdam and Vervoerregio Amsterdam to combine quantitative modelling, adaptation planning and stakeholder engagement into actionable climate resilience
-
a diverse international team of postdoctoral researchers, PhD candidates and technicians with complementary expertise in modelling, molecular biology, genomics, microbial physiology, synthetic biology
-
structure-preserving methods for mathematical models of physical systems, including topics such as geometric numerical integration, finite-volume and finite-element methods, variational formulations
-
functionalities that can further improve operational performance, such as the integration of predictive models, orbital dynamics knowledge, or drag-aware optimisation strategies to enhance manoeuvre timing and
-
Position Data Science and Artificial Intelligence in Cardiac Electrophysiology Our goal: the development of multimodal prediction models to detect and predict atrial fibrillation (AF) and other clinically
-
of multimodal prediction models to detect and predict atrial fibrillation (AF) and other clinically relevant cardiac rhythm patterns, predict disease progression and treatment response, and support personalised
-
-behaviour literature; consolidating them into a Programme of Requirements; and formulating and implementing a mathematical model that assigns spaces and time slots in response to demand patterns, pricing
-
development , various types of leave, and options for sports and cultural activities . You can also tailor your employment conditions through our Terms of Employment Options Model. In this way, we encourage you
-
Materials Science section at TU Delft is actively engaged in developing fundamental understanding for next-generation circular steelmaking. Using advanced atomistic modelling techniques, you will unravel
-
the study of vegetation and land use dynamics from local to global scales. Within the Remote Sensing group, we use a combination of advanced methods and modelling approaches applied to the full range