Sort by
Refine Your Search
-
Listed
-
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
- University of Twente (UT)
- University of Groningen
- Leiden University
- Radboud University
- Maastricht University (UM)
- Erasmus University Rotterdam
- Vrije Universiteit Amsterdam (VU)
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Amsterdam UMC
- Erasmus University Rotterdam (EUR)
- KNAW
- Naturalis
- Tilburg University
- Sanquin Blood Supply Foundation (Sanquin)
- Hotelschool The Hague
- ARCNL
- Breda University of Applied Sciences
- Radboud University Medical Center (Radboudumc)
- University Medical Center Utrecht (UMC Utrecht)
- HFML-FELIX
- IMD Business School
- University Medical Centre Groningen (UMCG)
- University of Utrecht
- AMOLF
- Amsterdam University of Applied Sciences (AUAS/HvA))
- NIOZ Royal Netherlands Institute for Sea Research
- Universiteit Leiden
- Amsterdam UMC, location VUmc
- Erasmus MC (University Medical Center Rotterdam)
- Harvard University
- IHE
- TU Delft
- The Open Universiteit (OU)
- Universiteit van Aruba (UA)
- 31 more »
- « less
-
Field
- Computer Science
- Engineering
- Economics
- Medical Sciences
- Biology
- Mathematics
- Materials Science
- Chemistry
- Business
- Science
- Psychology
- Earth Sciences
- Social Sciences
- Electrical Engineering
- Humanities
- Arts and Literature
- Environment
- Linguistics
- Sports and Recreation
- Law
- Design
- Philosophy
- Physics
- Education
- Statistics
- 15 more »
- « less
-
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
-
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
-
the project, you will develop and optimize printable materials and fabrication processes for creating conductive tracks, electrodes and other electronic components within soft 3D structures. You will
-
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
-
control and grid-forming/grid-following operation; HVDC, MTDC and offshore systems; protection; machine and load modelling; model order reduction; parameter estimation and model validation; large-scale
-
the definition, validation and continuous improvement of operational concepts and exploitation processes; following up industrial activities relating to launch campaign operations, launcher processing, integration
-
process Interested? Does this vacancy appeal to you? If so, click on the button below and apply straightaway. Please add the following documents to your application: CV. Cover letter. The job interviews
-
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
-
processes; providing management support in the areas of configuration and documentation management and logistics. You will work in close coordination with the Inspector General in overseeing
-
governmental services (hardgov services). Knowledge of the IRIS² Regulation and Concession Agreement. Knowledge of or experience in the European Commission internal decision-making process, the EU