Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
++ and Python programming languages. Experience in open source projects, GPU programming, distributed computing and cloud computing are considered to be strong assets. The position of Research Fellow at
-
research (e.g., integer linear programming and constraint programming); heuristics, meta-heuristics, and evolutionary computations; distributed and cloud computing; automated reasoning (e.g., formal and
-
excellent computational performance and built-in Autodiff capabilities form the core enabling research challenge that you will address in collaboration with early-adopting users, providing a cornerstone for
-
are offering a senior postdoctoral position within the Stranding Research Programme external link , part of the Division of Pathology at the Faculty of Veterinary Medicine. Your job The Stranding Research
-
program to accelerate commercialization of innovative biotechnology research, and through that you can exchange ideas with other engineers and entrepreneurs. Your goal is to develop a single cell analyzer
-
problems and wave propagation from nano to kilometre scales. About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer
-
; developing visualisation prototypes to communicate uncertainty to end-users; contributing to a computational framework for data production in cooperation with Research Software Engineers; working closely with
-
learning and data augmentation for soil and biomass carbon forecasts; developing a computational framework for data production in cooperation with Research Software Engineers; collaborating and coordinating
-
researcher with expertise in the area of spiking neural networks and an interest in (applications of) probabilistic computing. The postdoc candidate will participate in the NWO NWA project "Acting under
-
August 2025 Apply now Machine Learning models are increasingly important in the atmospheric sciences. After training, they can emulate model outcomes at a fraction of the computational cost of traditional