Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Groningen
- Wageningen University and Research Center
- University of Twente
- European Space Agency
- Erasmus University Rotterdam
- Utrecht University
- Leiden University
- Radboud University
- Delft University of Technology (TU Delft)
- KNAW
- Eindhoven University of Technology (TU/e)
- Delft University of Technology (TU Delft); Delft
- University of Twente (UT)
- CWI
- University of Amsterdam (UvA); Amsterdam
- University of Twente (UT); Enschede
- University of Groningen; Groningen
- Leiden University; Leiden
- Maastricht University (UM); Maastricht
- University of Amsterdam (UvA)
- Vrije Universiteit Amsterdam (VU)
- Eindhoven University of Technology (TU/e); Eindhoven
- Maastricht University (UM)
- Vrije Universiteit Amsterdam (VU); Amsterdam
- Radix Trading LLC
- Wageningen University & Research
- Erasmus MC (University Medical Center Rotterdam)
- Erasmus MC (University Medical Center Rotterdam); Rotterdam
- Nature Careers
- Radboud University; Nijmegen
- Tilburg University; Tilburg
- Wageningen University & Research; Wageningen
- ;
- AcademicTransfer
- Amsterdam UMC; Amsterdam
- DIFFER
- DIFFER; Eindhoven
- Delft University of Technology
- Leiden University; 's-Gravenhage
- NIOZ Royal Netherlands Institute for Sea Research
- Radboud University Medical Center (Radboudumc)
- Radboud University Medical Center (Radboudumc); Nijmegen
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- The Netherlands Cancer Institute
- The Netherlands Cancer Institute; Amsterdam
- Tilburg University
- Universiteit van Amsterdam
- University Medical Center Utrecht (UMC Utrecht)
- University Medical Center Utrecht (UMC Utrecht); Utrecht
- University of Amsterdam
- Utrecht University; Utrecht
- VU Amsterdam
- 42 more »
- « less
-
Field
-
University within the chair Crop Physiology . You will be supervised by prof. Jochem Evers (WUR) and prof. Kirsten ten Tusscher (UU). Regular meetings will be organised with both PhD students and their
-
Organisation Job description For the National Growth Fund (NGF) project “Groeien met Groen Staal” (GGS), a PhD position for the period of 4 years is available in the context of modelling green steel
-
methods for eliciting and aggregating safety specifications and risk thresh-olds for AI systems, with a particular focus on mechanisms that provide axiomatic guarantees, are algorithmically tractable, and
-
-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
-
algorithms. We welcome applications from individuals with experience in: Experience developing deep learning models for real-time image/video segmentation, object tracking, reinforcement learning. Deep
-
, payload, forward and retrieval algorithms, level 0 to level 1 algorithms, etc.); supporting the development of generic building blocks and modules for end-to-end performance simulators, aiming for maximum
-
management related tasks will also be part of the candidate's responsibilities. Requirements Candidates are required to have a PhD degree in computer science, mathematics, electrical and electronic engineering
-
A PhD degree in applied mathematics, computer science, electrical engineering, mechanical engineering,or applied physics.•A research oriented attitude with affinity for advanced formal mathematics
-
) and cover a wide range of innovative topics, from the development and validation of novel methods, algorithms and EO products to innovative climate research; the development of improved climate data
-
) in the fields of satellite telecommunications network architectures, techniques and algorithms (coding, modulation, access, synchronisation and networking), system tools and telecom equipment. Duties