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wide-field surveys (ZTF, LSST, Argus). • Develop algorithms for low-latency multi-messenger searches combining gravitational-wave, gamma-ray-burst, fast-radio-burst, and optical detections. • Make
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elaborated an algorithm for identification of cancer specific T cells, which selectively kill autologous tumour but not healthy lung tissue. Simultaneously, we have developed the method for identification and
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that includes medical image processing, Artificial Intelligence (AI) algorithm development, and scientific writing. Gain clinical experience including training in radiation oncology software, imaging including
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Iterative Learning Control (ILC) algorithms on real-world industrial platforms. The project requires good theoretical and hands-on expertise. Perfectly suited for those at the intersection of theory and
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The University of Exeter’s Department of Computer Science invites applications for a funded PhD studentship to commence on 21 September 2026, or as soon as possible thereafter. For eligible students
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lead the design, statistical optimisation and validation of assays for clinically relevant bladder cancer targets. Their central objective will be to develop an algorithmic workflow to detect new target
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30 Jul 2026 Job Information Organisation/Company Institute for bioengineering of Catalonia, IBEC Research Field Biological sciences Researcher Profile First Stage Researcher (R1) Positions PhD
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systems are particularly challenging: even well-synchronised programs and algorithms satisfying established correctness criteria such as linearisability may remain vulnerable to security attacks. COVERT
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University of Twente, and Maastricht University. Working closely with a PhD candidate and the project's supervisory team, you will design, train, and iteratively refine the CLARA AI agent — bridging cutting
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-centric AI and explainable decision-making? Are you intrigued by the role of human expertise in complex optimization? This PhD position focuses on bringing humans into the loop of optimization processes