Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Leiden University
- University of Groningen
- CWI
- Leiden University; Leiden
- University of Twente
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- Eindhoven University of Technology (TU/e)
- Radboud University
- Utrecht University
- Wageningen University & Research
- Wageningen University and Research Center
- University of Twente (UT)
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- University of Twente (UT); Enschede
- Eindhoven University of Technology (TU/e); Eindhoven
- Erasmus MC (University Medical Center Rotterdam)
- Maastricht University (UM); Maastricht
- Radboud Universiteit
- Universiteit van Amsterdam
- University Medical Centre Groningen (UMCG)
- University of Amsterdam
- Vrije Universiteit Amsterdam (VU)
- 14 more »
- « less
-
Field
-
Dr Marc Russwurm. Your qualities We seek a highly motivated PhD candidate having: a master’s degree in Geo-Information Science, Physical Geography, Remote Sensing, Applied Mathematics, Statistics or a
-
writing and presentation skills. At the start of the PhD, having obtained a Master’s degree in a relevant field, such as AI, mathematics, physics, (computational) neuroscience, etc.. Terms and conditions
-
(applied mathematics, software engineering, and medicine), it is expected to refine the scope and goals of the project with the selected applicant, depending on technical skills and personal interests
-
science, engineering, physics, mathematics or a similar domain. There is a strong preference for an applicant with a biomedical background. Experience with medical image processing, histopathology, computer vision
-
Physical Intelligence Lab at TU Delft and contribute to advancing model-based control of soft robots. The position is funded by the ERC Starting Grant “RIPLEY,” led by Dr. Cosimo Della Santina. The project
-
range of science and engineering disciplines, from classical disciplines such as mathematics, astronomy and mechanical engineering, to interdisciplinary fields such as artificial intelligence,nanoscience
-
associations, grid operators, technology/service providers) in the decision-making process by offering them a toolbox to explore and assess local heat solutions for PEDs. The EmPowerED project involves in total
-
research carried out at the Faculty of Science is diverse, ranging from mathematics, artificial intelligence, computer science, astronomy, physics, chemistry and bio-pharmaceutical sciences to biology and
-
Sciences, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we external link work on excellent research and inspiring education. We do so, driven by curiosity and supported by
-
are looking for a motivated PhD candidate to join the Physical Intelligence Lab at TU Delft and contribute to advancing model-based control of soft robots. The position is funded by the ERC Starting Grant