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Field
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Challenge: Distinguish noise and signal in data streams Change: Refined asymptotic analysis of stochastic processes Impact: Faster detection of anomalies and reliable uncertainty quantification Job
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Apply now Why apply? Do you want to shape the future of trustworthy AI and work at the intersection of foundation models, multimodal data, and explainability? This PhD project offers you the chance
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Teaser Text We invite applications for a fully-funded PhD position in the emerging intersection
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background in process safety, quantitative risk assessment, and simulation methods. Experience in programming and/or safety analysis software. Familiar with process safety and security concepts, accident
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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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for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using
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Organisation Job description The Van Swinderen Institute for Particle Physics and Gravity invites applications for a PhD researcher position working on the LHCb experiment. Searches for charged
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for ensuring safe and sustainable industrial operations. As a PhD candidate in Resilience Assessment and Management for NaTech-Exposed Process Industries at TU Delft, you will contribute to tackling
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Machine Learning, and has over 30 PhD students, postdoctoral researchers and faculty members working on a broad variety of deep learning, computer vision, and foundation model subjects, like self-supervised
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for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using