750 parallel-and-distributed-computing-phd-"Multiple" Fellowship research jobs in United Kingdom
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innovative research programmes. You may also: Hold a PhD in genetics, pathology, cancer cell biology, computer science, data science, or a related discipline. Have a significant research profile with a strong
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and the manager of your substantive post, if you are already undertaking a secondment role. The Leverhulme Trust’s funding regulations mean that individuals will have needed to have submitted their PhD
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be close to completing a PhD in computer science, mathematics, or a related area with a topic close to type theory or constructive mathematics. Expertise can be evidenced through publications
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over the following 9 months. Researchers from multiple UK universities have been involved in the development of the 11.7T National Facility and the appointed Research Fellows in UHF MRI/S will work with
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of microbial genomics and develop computational tools with broad applications in biotechnology and biosecurity. The role involves collaboration with leading researchers across multiple institutions and will
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Do you have a PhD in HCI, Computer Science, or Related? Are you Interested in innovating interactive technologies to help #MakeNormalBetter for all? You’re an excellent and committed researcher
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Do you have a PhD in HCI, Computer Science, or Related? Are you Interested in innovating interactive technologies to help #MakeNormalBetter for all? You’re an excellent and committed researcher
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About us The Photonics Group of the UCL Department of Electronic and Electrical Engineering wishes to appoint a Research Fellow to work in the field of Unlocking scalable quantum computing with
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partners. Main Duties Improve, develop, implement, and apply advanced computational tools and workflows to process, analyse, and interpret large-scale LCMS-based metabolomics datasets across multiple species
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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