Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Groningen
- Delft University of Technology (TU Delft)
- University of Twente
- Delft University of Technology (TU Delft); Delft
- European Space Agency
- Utrecht University
- Wageningen University and Research Center
- Eindhoven University of Technology (TU/e)
- Leiden University
- Radboud University
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- University of Twente (UT)
- Wageningen University & Research
- CWI
- Erasmus University Rotterdam
- Max Planck Institute (MPI) for Psycholinguistics
- Eindhoven University of Technology (TU/e); Eindhoven
- NIOZ Royal Netherlands Institute for Sea Research
- Nature Careers
- Radboud University Medical Center (Radboudumc)
- University of Twente (UT); Enschede
- Wageningen University & Research; Wageningen
- Leiden University; 's-Gravenhage
- Maastricht University (UM)
- Maastricht University (UM); Maastricht
- Max Planck Society; Munich
- Princess Máxima Center for Pediatric Oncology; Utrecht
- Radboud University Medical Center (Radboudumc); Nijmegen
- The Netherlands Cancer Institute
- The Netherlands Cancer Institute; Amsterdam
- Tilburg University
- Tilburg University; Tilburg
- University of Groningen; Groningen
- Vrije Universiteit Amsterdam (VU)
- Vrije Universiteit Amsterdam (VU); Amsterdam
- 26 more »
- « less
-
Field
-
this position will be to provide in vitro biochemical, biophysical and structural data from novel mutants of the EGFR kinase domain to drive and validate algorithmic development. Organisation The vacancy is
-
Your job Are you passionate about cancer research? Excited to dive into biological pathways and complex data analyses in an epidemiological setting? Eager to work within an ambitious and
-
available at the Advanced Production Engineering (APE) research group, Engineering and Technology Institute Groningen (ENTEG), Faculty of Science and Engineering. For more information about the APE group
-
of data that can be utilised in empirical research: In collaboration with five partners within the consortium, we have designed and fielded the TransEuroWorks Public Opinion Survey. As part of this survey
-
forest fires to big data, from obesity to malnutrition, and from molecules to the moon: we cover the full spectrum of the natural sciences. Our teaching and research have a strong experimentally technical
-
data to design robust, efficient deep learning algorithms that maximize the information extracted from images and delivered to the robot. To be successful in this role, we are looking for candidates
-
wet-lab and in silico work. You must Hold a PhD in molecular biology, biochemistry, or related disciplines. Have experience with basic molecular biology techniques (e.g., qPCR, western blot, cloning
-
information General interest in space and space research Behavioural competencies Education You should have recently completed, or be close to completion of a PhD in a related technical or scientific
-
-guided medical applications, with a focus on advanced robotics. You will work directly with clinical data to design robust, efficient deep learning algorithms that maximize the information extracted from
-
Today, companies across a wide range of industries face the challenge of managing increasingly complex stochastic systems, where uncertainty is inherent and data is abundant. These systems arise in