Sort by
Refine Your Search
-
Listed
-
Employer
- European Space Agency
- University of Twente
- Utrecht University
- University of Groningen
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- CWI
- Wageningen University and Research Center
- Leiden University
- Eindhoven University of Technology (TU/e)
- Maastricht University (UM); Maastricht
- The Netherlands Cancer Institute; Amsterdam
- Universiteit van Amsterdam
- Wageningen University & Research
- 4 more »
- « less
-
Field
-
learning Medical image computing (preferably x-ray imaging) Computationally efficient deep learning Deep learning model generalisation techniques Translating deep learning models into clinical settings
-
: Deep learning Medical image computing (preferably x-ray imaging) Computationally efficient deep learning Deep learning model generalisation techniques Translating deep learning models into clinical
-
department, and the Process & Energy department of the Mechanical Engineering faculty. To scale up CO2 electrolysis & utilization technologies, we are looking for a proactive, process engineering-minded
-
missions. Our team and mission The European Space Agency maintains a world-leading Science Programme with missions in heliophysics, planetary science, astrophysics, and fundamental physics. Within ESA’s
-
funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoctoral researcher
-
Postdoc: Geospatial AI Modelling & Uncertainty Quantification of Carbon Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 32 to 40 Application deadline
-
Postdoc: Hybrid Geospatial Modelling and Scenario Development of Carbon Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 32 to 40 Application deadline
-
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Challenge: Finding ways to produce tungsten enzymes on an industrial scale
-
intersection of AI, imaging technology, and oncological surgery. Ideal candidates will have: A Master's degree in artificial intelligence, bioinformatics, computer science, physics, mathematics, or a similar
-
funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Today, companies across a wide