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. dr. Harald Vranken and dr. Mina Sheikhalishahi) as well as formal methods and software testing (prof. dr. Tanja Vos and dr. Tim Steenvoorden). The PhD project will be carried out in close cooperation
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. With the growing urgency of sustainable design and operation of digital infrastructures, this PhD project will design and develop resource management schemes that enhance the sustainability and
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about tackling both deep research challenges and real-world software problems, this project is for you. Seeking a PhD student who values the strengths of formal reasoning while recognizing its current
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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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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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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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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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from software error discovery to mitigation based on modern active learning. Job Description You will research the state-of-the-art in AI and apply it to real-world software problems at our industrial
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Based on current processor architectures, reaching orders of magnitude of improvements in terms of energy efficiency is considered impossible. Alternative strategies for realizing processing
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Find2Fix will engineer the first open-source tool for the entire process from software error discovery to mitigation based on modern active learning. Job Description You will research the state