Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- Delft University of Technology (TU Delft)
- European Space Agency
- University of Groningen
- Wageningen University & Research
- Eindhoven University of Technology (TU/e)
- Leiden University
- University of Amsterdam (UvA)
- Utrecht University
- Maastricht University (UM)
- Radboud University
- Tilburg University
- Erasmus University Rotterdam
- Erasmus University Rotterdam (EUR)
- University of Twente (UT)
- Amsterdam University of Applied Sciences (AUAS/HvA))
- Centrum Wiskunde en Informatica (CWI)
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- SRON
- AMOLF
- Amsterdam UMC, location VUmc
- DIFFER
- Delft University of Technology
- Princess Máxima Center for Pediatric Oncology
- Sanquin Blood Supply Foundation (Sanquin)
- TU Delft
- The Open Universiteit (OU)
- Universiteit Leiden
- University of Twente
- Vrije Universiteit Amsterdam (VU)
- 19 more »
- « less
-
Field
- Computer Science
- Engineering
- Economics
- Medical Sciences
- Mathematics
- Materials Science
- Science
- Biology
- Business
- Psychology
- Arts and Literature
- Chemistry
- Electrical Engineering
- Law
- Earth Sciences
- Sports and Recreation
- Design
- Physics
- Social Sciences
- Environment
- Humanities
- Linguistics
- Statistics
- 13 more »
- « less
-
technological and (health) application perspective; planning and conducting benchtop spectroscopy experiments; data analysis, quantifying sensitivity and performance of the technology, and formulating algorithms
-
operation will be studied. From a methodological perspective, the above research challenges will be tackled through a mix of theory, algorithm design, and analysis of experimental data, partly collected by
-
classification of aluminium scraps and contaminants. Design and validate algorithms for multi-sensor data interpretation and sensor fusion. Conduct laboratory experiments on scrap characterisation and sorting
-
user studies, develop novel algorithms, build immersive/augmented realities, and validate your solutions in real-world settings. This PhD is ideal for candidates interested in one or more of the
-
user studies, develop novel algorithms, build immersive/augmented realities, and validate your solutions in real-world settings. This PhD is ideal for candidates interested in one or more of the
-
of platform data handling and payload data processing equipment; the implementation, inference, verification and validation of algorithms** on data processing hardware platforms for space applications** in
-
, you will focus on developing mathematical models and numerical algorithms that systematically integrate uncertainties into the design process of optical systems. The goal is to enable novel design
-
error-correcting codes, establishing fundamental performance limits, and building practical decoding algorithms and architectures. Your research will sit at the interface between the classical and quantum
-
environmental fate and behaviour models for soil, surface water, and groundwater systems; implement and improve model algorithms; analyse and interpret simulation results for risk assessments; collaborate with
-
to the mathematical foundations of entropy, randomness and irreversibility, with possible directions including large deviation theory, algorithmic randomness, ergodic theory, quantum entropy, operator algebras and