Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- University of Groningen
- University of Twente
- Wageningen University and Research Center
- Delft University of Technology (TU Delft); Delft
- European Space Agency
- Radboud University
- University of Amsterdam (UvA)
- University of Twente (UT)
- CWI
- Eindhoven University of Technology (TU/e)
- KNAW
- Leiden University
- Maastricht University (UM)
- Maastricht University (UM); Maastricht
- NIOZ Royal Netherlands Institute for Sea Research
- Nature Careers
- Radboud University Medical Center (Radboudumc)
- Tilburg University; Tilburg
- University of Amsterdam (UvA); Amsterdam
- University of Groningen; Groningen
- Utrecht University
- Vrije Universiteit Amsterdam (VU)
- Vrije Universiteit Amsterdam (VU); Amsterdam
- Wageningen University & Research
- 15 more »
- « less
-
Field
-
contribute to smart grids that make energy networks more efficient, mathematical models that assist medical doctors, schedules that make hospitals more efficient and numerical schemes to study multiscale fluid
-
descriptors and neural network for the task comparing with available experimental results You will conduct research, communicate results via peer-review publication and at conferences You will be a proactive
-
in experimental (marine) biology/ecology and an interest in molecular ecology to investigate the prospects of using marine vegetation (e.g., seagrass) to improve the health of commercially important
-
Molecular and Cellular Neurobiology (MCN) . Recent studies have shown that in addition to neurons, glial cells play a major role in synaptic function. As yet, it is unclear what the molecular mechanisms
-
on drought resilience of dike vegetation types at Radboud University's experimental garden, and develop a strategy for the continuation of this experiment. Moreover, in addition to these research activities
-
developers, electrical and mechanical engineers. Experience and strong understanding of machine learning algorithms, mathematical modelling, and applications of AI. Proficiency in Python, leading ML frameworks
-
within a cross-functional team, including software developers, electrical and mechanical engineers. Experience and strong understanding of machine learning algorithms, mathematical modelling, and
-
peptide translocation. Beyond COMSOL finite-element numerical simulations, the focus is on experimental characterization of various analytes in various modified nanopores by ion current measurements
-
COMSOL finite-element numerical simulations, the focus is on experimental characterization of various analytes in various modified nanopores by ion current measurements, augmented by AFM, TEM and DIB
-
aimed to bridge fundamental studies with application-oriented ‘proof-of-principle’ device developments. Most of the experimental research concentrates around thin film samples, which are fabricated in