Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- Delft University of Technology (TU Delft)
- European Space Agency
- Utrecht University
- Eindhoven University of Technology (TU/e)
- Wageningen University & Research
- University of Amsterdam (UvA)
- University of Twente (UT)
- University of Twente
- Leiden University
- Radboud University
- University of Groningen
- Maastricht University (UM)
- Erasmus University Rotterdam
- Vrije Universiteit Amsterdam (VU)
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- KNAW
- Naturalis
- Erasmus University Rotterdam (EUR)
- Tilburg University
- Amsterdam UMC
- Sanquin Blood Supply Foundation (Sanquin)
- University Medical Center Utrecht (UMC Utrecht)
- Hotelschool The Hague
- ARCNL
- Breda University of Applied Sciences
- Radboud University Medical Center (Radboudumc)
- HFML-FELIX
- IMD Business School
- University Medical Centre Groningen (UMCG)
- University of Utrecht
- AMOLF
- Amsterdam University of Applied Sciences (AUAS/HvA))
- Erasmus MC (University Medical Center Rotterdam)
- NIOZ Royal Netherlands Institute for Sea Research
- Universiteit Leiden
- Adver Online Group
- Amsterdam UMC, location VUmc
- Delft University of Technology
- Harvard University
- IHE
- Princess Máxima Center for Pediatric Oncology
- Prinses Máxima Centrum
- SRON
- TU Delft
- The Open Universiteit (OU)
- Universiteit van Aruba (UA)
- 36 more »
- « less
-
Field
- Computer Science
- Engineering
- Economics
- Biology
- Medical Sciences
- Mathematics
- Materials Science
- Science
- Chemistry
- Business
- Psychology
- Earth Sciences
- Social Sciences
- Humanities
- Electrical Engineering
- Arts and Literature
- Environment
- Sports and Recreation
- Law
- Linguistics
- Design
- Physics
- Philosophy
- Education
- Statistics
- 15 more »
- « less
-
an individual ESA Member State or Associate Member under a bilateral partnership agreement concluded with ESA. As a result, a representative of the sponsoring State participates in the selection process. In
-
Deploy detailed models of coupled ocean / sea ice processes, probe their turbulent interactions, compare with observations, and design parameterizations for global climate models. Job description
-
ingredients, a process that is traditionally slow because each substrate–strain combination behaves differently. By applying machine learning to historical experimental data, we can predict high‑potential
-
vision, robotics and radar, such as NeurIPS, CVPR, ICRA, IEEE IV and RadarConf. For your research, you will have access to extensive computing resources at TU Delft, ranging from personal workstations and
-
environment and/or within an industrial consortium Knowledge and experience of complex project schedule and risk management processes Experience working in a project environment on the procurement and
-
the definition, validation and continuous improvement of operational concepts and exploitation processes; following up industrial activities relating to launch campaign operations, launcher processing, integration
-
have: MSc in engineering or similar discipline by the start date of the position Experience with mechanical modeling and simulation Experience in computer programming/scripting (e.g., C++, Python, Matlab
-
to backward erosion piping. You will investigate how this approach can be further developed to capture the physical processes that govern pipe formation and progression, while connecting detailed modelling with
-
to lower levels and the definition of associated interfaces; coordinating with domain teams, such as operations, security, and service management (ITIL), to ensure consistent requirements, aligned processes
-
consolidate FDIR documentation for all mission phases, ensuring compliance with ESA internal processes, applicable standards and best engineering practices; define, maintain and validate the FDIR concept in