Sort by
Refine Your Search
-
Listed
-
Employer
- Delft University of Technology (TU Delft)
- Leiden University
- Utrecht University
- Eindhoven University of Technology (TU/e)
- European Space Agency
- University of Amsterdam (UvA)
- Maastricht University (UM)
- Radboud University
- University of Utrecht
- Vrije Universiteit Amsterdam (VU)
- Universiteit Leiden
- University of Groningen
- University of Twente
- 3 more »
- « less
-
Field
-
and with a variety of perspectives and backgrounds. The Faculty has six departments: Biology, Pharmaceutical Sciences, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we
-
competencies Education You should have completed within the past five years, or be close to completing, a PhD in aerospace engineering, mathematics, physics, computer science or a related field. A PhD in space
-
particular its applied mathematics and advanced numerics, as well as the team’s other main research lines (for example AI for guidance, navigation and control, unconventional computing and fundamental physics
-
, computational biology, computer science, quantum information/quantum computing, computational chemistry, applied mathematics, physics, or a closely related field; have strong programming and computational
-
About the department, institute, project The LALA project investigates the nature and historical context of activities in the fields of philosophy, esp. logic, mathematics, and astronomy, in 5th-6th
-
, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we work on excellent research and inspiring education. We do so, driven by curiosity and supported by outstanding infrastructure
-
relevant field, such as plant science, crop science, agricultural engineering, biosystems engineering, horticulture, applied physics, data science or a related discipline. Demonstrable research experience in
-
addresses these gaps. The research consists of: Develop a new dataset of observed damages and physical conditions based on insurance claims, and deriving improved, statistically robust damage functions
-
, physics, applied mathematics, engineering, computer science or related discipline. Strong skills in fluid mechanics and numerical modelling. Experience with large observational data sets of environmental
-
relevant field, such as plant science, crop science, agricultural engineering, biosystems engineering, horticulture, applied physics, data science or a related discipline. Demonstrable research experience in