Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- European Space Agency
- Delft University of Technology (TU Delft)
- University of Twente (UT)
- Radboud University
- University of Amsterdam (UvA)
- University of Twente
- Utrecht University
- Wageningen University & Research
- Amsterdam University of Applied Sciences (AUAS/HvA))
- Eindhoven University of Technology (TU/e)
- Naturalis
- Tilburg University
- Amsterdam UMC
- Erasmus University Rotterdam
- 4 more »
- « less
-
Field
-
Location ESOC, Darmstadt, Germany Description Software Engineer in the Software Backend Section, Ground Station Engineering Division, Ground Systems Engineering and Innovation Department
-
demonstrable experience with programming in Python and implementing statistical or machine learning algorithms. You have experience with software development practices such as testing and version control with
-
supports projects in close coordination with system engineering, avionics, software and operations. You will provide functional support to assigned ESA projects as FDIR expert, contributing to project
-
thermoplastic composite joints. Since there are currently no well-established standards for fatigue testing of these joints, the project will involve developing experimental methods to reliably characterize
-
and benchmarking complete systems, such as laser sources and laser-frequency locks; designing or integrating the electronics, instrumentation, and control software needed to operate and test those
-
Site (UMS), a unique test environment for utility mapping technologies. Current machine learning models and their training data are limited in size, comprehensiveness, and realism – resulting in partial
-
? For a period of ten months, we are looking for a Junior Researcher to test whether GenAI can reliably extract individual youth treatment data from scientific publications — accelerating evidence synthesis
-
software developers to integrate data‑driven models with mechanistic or physics‑based models and domain expertise; showing thought leadership on applying data & AI-solutions in the food & biobased domain
-
-time, the immediate priority is reliable pipeline and report ownership, followed by operational coordination and routine website maintenance. Major software redevelopment or independent statistical
-
processing pipelines, computer vision based functions, or software tooling that supports experimentation and validation. You will contribute to technical trade-offs, implementation work, and iterative testing