Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- European Space Agency
- University of Groningen
- Wageningen University and Research Center
- University of Twente
- Utrecht University
- Erasmus University Rotterdam
- Leiden University
- CWI
- KNAW
- Radboud University
- Radix Trading LLC
- Nature Careers
- Universiteit van Amsterdam
- ; Max Planck Institute for Psycholinguistics
- Qutech
- University of Amsterdam
- University of Utrecht
- 7 more »
- « less
-
Field
- Economics
- Computer Science
- Engineering
- Biology
- Business
- Science
- Medical Sciences
- Materials Science
- Arts and Literature
- Mathematics
- Linguistics
- Electrical Engineering
- Humanities
- Chemistry
- Environment
- Earth Sciences
- Education
- Social Sciences
- Philosophy
- Physics
- Psychology
- Design
- Sports and Recreation
- 13 more »
- « less
-
-based, probabilistic, and in-memory computing, are based on a wide variety of physical processes, materials, architectures, and algorithms. For effective implementation, these aspects need to be mapped
-
Future-Proof Smart Logistics. It aims to contribute to the realisation of the PI concept by developing advanced machine learning-based decentralised decision-making algorithms. These algorithms will enable
-
-peptide drugs for therapeutic intervention. (3) Prof. Clemens Mayer (https://mayerlab.nl/ ) leads the Molecular Evolution Group at the University of Groningen and will tackle a project on making the
-
algorithms from medical records, improving Astronaut’s medical monitoring during missions and throughout their career; Develop automated workflow for data extraction and import; Support development
-
operating (Waterstromen) membrane-based wastewater treatment plants. As part of the UT team, you will develop a robust model predictive control (MPC) algorithm based on sensor and other system inputs that can
-
PhD position on Closed-loop testing for faster and better EM evaluation of complex high-tech systems
that you help us to solve that problem! The objectives are to develop a world-wide accepted new standard for testing large systems in RC, by comparing the newest fast EM sensor systems, comparing performance
-
mechanics at the atomic scale. In this project, the University of Groningen will develop an array of state-of-the-art machine learning potentials for multi-component alloy systems that are relevant
-
; Associated processing, mitigation, retrieval, correction and calibration algorithms for product generation. For remote sensing this includes algorithmic developments relevant to Lvl1 and Lvl2 ground processing
-
, 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
-
-research-projects-awarded-through-open-competition-domain-science-m-programme ). Responsibilities and tasks: Development of novel electrocatalysts for N2 fixation. Fabrication of single cells with targeted