Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- Utrecht University
- University of Amsterdam (UvA)
- Wageningen University & Research
- University of Groningen
- Eindhoven University of Technology (TU/e)
- Leiden University
- European Space Agency
- University of Twente (UT)
- Maastricht University (UM)
- Erasmus University Rotterdam
- Radboud University
- Vrije Universiteit Amsterdam (VU)
- 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 University Rotterdam (EUR)
- KNAW
- NIOZ Royal Netherlands Institute for Sea Research
- Princess Máxima Center for Pediatric Oncology
- SRON
- Tilburg University
- Universiteit Leiden
- 18 more »
- « less
-
Field
- Computer Science
- Biology
- Engineering
- Economics
- Medical Sciences
- Chemistry
- Earth Sciences
- Science
- Materials Science
- Humanities
- Mathematics
- Philosophy
- Psychology
- Physics
- Social Sciences
- Sports and Recreation
- Arts and Literature
- Business
- Education
- Environment
- Design
- Electrical Engineering
- Law
- Statistics
- 14 more »
- « less
-
modelling approaches, and: A PhD in Earth Sciences, biogeochemistry, or related discipline A strong interest in organic geochemistry and hands-on laboratory work You are able to independently plan, organize
-
peer-reviewed journals and conferences, and share tools, software and methodological developments through seminars, open-source repositories and outreach activities inside and outside ESA; initiate and
-
independently while contributing effectively to collaborative research teams. Track record of supervising MSc and PhD students and participation in teaching activities. Good command of spoken and written English
-
researcher who enjoys developing methods for complex biological data and working closely with experimental scientists. You meet the following criteria: a PhD, or a PhD close to completion, in machine learning
-
semiconductor and nanomaterials ecosystem. You are expected to contribute to scientific output, supervise PhD and MSc students, and actively collaborate with academic and industrial partners. This role offers
-
applicant will have: A PhD in Materials Science, Applied Physics, Electrical Engineering, Chemistry or a closely related discipline. Strong background in modeling and simulation of thermal/energy systems
-
scientists. You meet the following criteria: • a PhD, or a PhD close to completion, in machine learning, artificial intelligence, computational biology, bioinformatics, computer science or a closely related
-
fair recruitment process that does not rely purely on common research metrics. The successful applicant will have: A PhD in Materials Science, Applied Physics, Electrical Engineering, Chemistry or a
-
Employment 1.0 FTE Gross monthly salary € 3,706 - € 5,760 Required background PhD Organizational unit Faculty of Science Application deadline 14 October 2026 Apply now Join an ambitious
-
willingness to collaborate across the other area. You will work with the task PI, Dr. Megha Khosla, and her team of PhD and Master’s students. You will also collaborate with scientists from different fields