Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- European Space Agency
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Utrecht University
- Wageningen University & Research
- University of Amsterdam (UvA)
- Erasmus University Rotterdam
- KNAW
- University Medical Center Utrecht (UMC Utrecht)
- Wetsus - European centre of excellence for sustainable water technology
-
Field
-
mechanisms of the rabies virus, in particular how the virus affects innate immune cells in the earliest moments of infection. The jury is impressed by Embregts' robust and independent line of research and
-
. Integrate multiple data sources (non-invasive measurements, internal biomarkers, pathogen load) to create robust datasets for modelling. Develop mathematical and machine-learning models that predict clinical
-
activities within the industry aimed at increasing the robustness of the current and future launch systems Technical competencies Knowledge of relevant technical/functional domains Relevant experience gained
-
engineering, ensuring that missions are designed using cutting-edge technologies, robust engineering practices and sustainable approaches. By combining innovation with direct mission support, the team
-
from undergraduate to graduate levels, apparent from positive assessments by students and peers; strong communication and coordination skills; a strong command of spoken and written English. While all
-
are developing technology to robotically manufacture robust optical circuits for quantum technology and beyond. We provided the circuit boards for the AQuRA optical lattice clock and are offering
-
and advanced solutions for optical wireless networking — from physical-layer modulation and optical multiple-input multiple output (MIMO) to network orchestration and adaptive link control. You will
-
current implementations are pulsed and sequential, limiting their bandwidth, robustness, and scalability. Achieving continuous operation in a compact format remains a major challenge—particularly for real
-
are realized and identify opportunities for further refinement. Develop a robust quality management framework for your AI-solutions, ensuring they can be safely evaluated, validated, and integrated within our
-
the PI and the technical/data engineer to manage data workflows, ensure FAIR data practices, and translate raw measurements into robust scientific products that feed directly into QUASI’s data analysis and