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- Delft University of Technology (TU Delft); 16 Oct ’25 published
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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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explanations of complex sensor outputs and mechanistic interpretability for multimodal foundation models. Key responsibilities Perform PhD research on the above topics and publish in top venues; Collaborate
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learning. In this PhD position you will focus on strain-aware genome assembly, variant calling and strain abundance quantification for viruses, bacteria and yeasts. For example, we would like to be able
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asymptotic analysis of stochastic processes Impact: Faster detection of anomalies and reliable uncertainty quantification Job Description As a PhD candidate in Mathematical Statistics, you will develop novel
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group, at TU Delft to pioneer self-organizing edge infrastructure that will define the next generation of Internet architecture. This PhD position offers you the opportunity to shape the future
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theory, discrete optimization and machine learning. In this PhD position you will focus on strain-aware genome assembly, variant calling and strain abundance quantification for viruses, bacteria and yeasts
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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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, as well as satellite and sensor data, looking specifically at 6 different use cases across Europe. In addition to the detailed innovative analysis of existing methods and protocols, ITC will focus
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Job description The TU Delft’s Faculty of Electrical Engineering, Mathematics, and Computer Science (EEMCS), invites applications for a fully funded PhD position. This exciting project aims
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Join us to decode how genetic variation reprograms brain cells and disrupts their communication using AI Job description We are looking for a PhD student to work at the intersection of machine