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- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); today published
- Delft University of Technology (TU Delft); yesterday published
- Delft University of Technology (TU Delft); Published today
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); 17 Oct ’25 published
- University of Groningen
- Delft University of Technology (TU Delft); 16 Oct ’25 published
- Delft University of Technology (TU Delft); Published 31 Oct ’25
- Eindhoven University of Technology
- Eindhoven University of Technology (TU/e); yesterday published
- Erasmus University Rotterdam
- Erasmus University Rotterdam (EUR)
- Naturalis; Published today
- Naturalis; Published yesterday
- University of Groningen; Groningen
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mathematical methods, algorithms, and applications are required. Simulators are a recognized method for architectural design explorations and the implementation of software development platforms. The goal
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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
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are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we
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developments of adaptive control for event-based systems. You will drive a novel theoretical framework to learn with bio-inspired multi-scale recurrent neural networks, and design custom neuromorphic hardware
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Job description In the global pursuit of safer and more autonomous mobility, a new frontier in automotive sensing is emerging. This PhD project focuses on developing a novel terahertz (THz) sensing
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circuits (PMICs) for sustainable and autonomous sensing systems. The goal of this PhD project is to develop a fully integrated energy-extraction chip that efficiently converts mechanical energy into
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future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which
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Description As a PhD candidate in Mathematical Statistics, you will develop novel methods for the analysis of temporal data. Of specific interest are monitoring procedures for structural breaks, which find
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learning, single-cell genomics, and neurogenetics. Your project will focus on developing new methods to understand how genetic variants affect not only individual brain cells but also change the way cells
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mathematical methods, algorithms, and applications are required. Simulators are a recognized method for architectural design explorations and the implementation of software development platforms. The goal