263 parallel-and-distributed-computing-phd-"Meta"-"Meta" positions at University of Cambridge in United Kingdom
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Research Infrastructure? No Offer Description Two fully-funded 3-year PhD studentships are available in Neuromorphic and Bio-inspired computing at the interface between control engineering, electrical
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project entitled: “Development and application of computational tools for the early detection and deconstruction of chromosomal instability in cancer” For further information about the research group
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Two fully-funded 3-year PhD studentships are available in Neuromorphic and Bio-inspired computing at the interface between control engineering, electrical engineering, computational neuroscience
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Science and Technology (CST) at the University of Cambridge. The goal of this PhD programme is to launch one "deceptive by design" project that combines the perspectives of human-computer interaction (HCI) and
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non-clinical PhD studentship in cardiometabolic research, commencing October 2026 in the Department of Medicine (VPD Heart & Lung Research Institute), University of Cambridge. The project will be based
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Supervisors: Dr Tim Halim and Dr Gregory Hamm Course start: 1st October 2026 Overview The project will be supervised by Dr Tim Halim, Dr Albert Koulman (Institute of Metabolic Science) and Dr Gregory Hamm (AstraZeneca). Project details The tumour immunity cycle involves cyclical trafficking of...
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transcriptomics and histone mark profiling as well as by live imaging approaches. As part of this project, you will have the opportunity to gain computational data analysis skills. This studentship comes with
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@ch.cam.ac.uk , including 'PhD CI ¿ October 2026' in the subject. How to apply Please apply via the University Applicant Portal. For further information about the course and to access the Applicant Portal, click
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A PhD studentship is available to work on Logistics automation. The student associate will work in the Intelligent Logistics Group within the Distributed Information and Automation Laboratory (DIAL
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/protein analyses). Experience in mouse work, organoids, CRISPR, flow cytometry and computational skills is highly desirable. Please note that working with laboratory mice throughout the PhD is an essential