578 associate-professor-computer-science-"https:"-"https:"-"https:"-"https:" Fellowship positions in United Kingdom
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on the Leverhulme Trust project Explicating Singularity Resolution: From Black Holes to Quantum Cosmology, led by Dr Karim Thebault (https://philosophyofphysicsbristol.org/explicating-singularity-resolution
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blog: https://engineering.blogs.bristol.ac.uk/category/engineering-includes-me/ Contract type: Open ended with fixed funding until 30/09/2028 Work pattern: Full time Grade: I / J / K Salary: Grade I
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engineering, computer science, physics or related fields). A PhD* (or equivalent research experience) in a relevant subject (only for Research Fellow position). Candidates with a non-healthcare degree are
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commercialisation opportunities arising from GlycoCell. https://www.nottingham.ac.uk/news/glycocell-engineering-biology-mission-hub https://www.ukri.org/news/new-100m-fund-will-unlock-the-potential-of-engineering
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: The successful candidate must have, and your application should clearly demonstrate that you meet the following essential criteria: Degree in Biomedical Sciences or related subject. Normally have or be about to
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your machine learning expertise to cutting-edge automated optimisation challenges? We are seeking a Research Fellow in Digital Chemistry and Engineering to combine self-optimising flow reactor technology
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is based at the Parkville Campus and will report to the Lab Head, Professor Andrew Pask and Senior Research Associate Dr Axel Newton. Your responsibilities will include: Lead Collaborative Research
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least a Bachelor’s degree in Computer Science, Electrical/Electronic/Software Engineering, or a related field. A Master’s or PhD degree in relevant areas will be advantageous. 3. Familiarity with
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science to join Professor Gerome Breen’s team at King’s College London and close collaboration with Prof Thalia Eley and her team. This post will play a central role in delivering the genomic analysis
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/Archaeology/Computer Science/Linguistics or related subjects. Ability to analyse and interpret datasets and apply critical evaluation to current methodologies is essential. Applicants must have proficiency in