Sort by
Refine Your Search
-
Listed
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Delft University of Technology (TU Delft); yesterday published
- Leiden University
- University of Amsterdam (UvA)
- Erasmus University Rotterdam
- University of Groningen
- Delft University of Technology (TU Delft); 17 Oct ’25 published
- Eindhoven University of Technology (TU/e); Eindhoven
- Maastricht University (UM)
- University of Amsterdam (UvA); Amsterdam
- University of Amsterdam (UvA); Published today
- Vrije Universiteit Amsterdam (VU)
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); Published yesterday
- Delft University of Technology (TU Delft); today published
- Eindhoven University of Technology (TU/e); 4 Oct ’25 published
- Eindhoven University of Technology (TU/e); Published today
- Eindhoven University of Technology (TU/e); Published yesterday
- Eindhoven University of Technology (TU/e); today published
- Eindhoven University of Technology (TU/e); yesterday published
- Leiden University; Leiden
- Maastricht University (UM); 27 Sep ’25 published
- Radboud University
- University Medical Center Utrecht (UMC Utrecht)
- University of Groningen; 26 Sep ’25 published
- University of Twente
- University of Twente (UT)
- Utrecht University
- Utrecht University; Utrecht
- 20 more »
- « less
-
Field
-
stakeholders in the Dutch battery ecosystem to develop and demonstrate the next-generation algorithms and models for the future Battery Management System. The PhD student will work on topics related to: Develop
-
. You will be working at the intersection of battery modelling and algorithm development, with a strong emphasis on the data-driven modelling and control aspects. You will contribute to shaping
-
bottlenecks in clinical radiology workflows through observations, structured workflow mapping, and close collaboration with clinical staff. Design, develop, and evaluate AI-based and automated workflow
-
for Mathematics and Computer Science (CWI). QuSoft’s mission is to develop new protocols, algorithms and applications that can be run on small to full-scale prototypes of a quantum computer. QuSoft has over 30 full
-
participants of the Netherlands Twin Register, integrating genetic and psychological data where relevant. Beyond algorithm development, you will also address methodological challenges such as data quality, bias
-
students to become experts in a specific domain of choice. This vacancy is explicitly targeted at candidates interested in algorithmic biases and developing methodological approaches to tackle this challenge
-
of battery modelling and algorithm development, with a strong emphasis on the data-driven modelling and control aspects. You will contribute to shaping the technologies that underpin a more sustainable and
-
exploited by algorithms, leading to efficient solvability. Due to the development of such algorithms, structured integer programs play a critical role in many decision-making processes leading to improved
-
that may empower consumers to resist persuasion and reduce harmful consequences? Are you passionate about advertising, algorithms and social media? Then apply for this PhD project focused on demystifying
-
these technologies can only read DNA fragments of limited length. We enable biological interpretation of these sequencing data sets by developing algorithms based on graph theory, discrete optimization and machine