536 computing-"https:" "https:" "https:" "BioData" "BioData" "BioData" "BioData" "BioData" uni jobs at University of Sheffield
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backgrounds with a degree in molecular biology/bioinformatics and a broad interest in epigenetics and genome informatics. Experience with programming and sequencing data analysis is highly desirable
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, including computer vision and machine vision. As a project engineer, you will ensure successful project delivery, delivering continuous improvements to IMG processes and build AMRC’s reputation in computer
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Zero-Knowledge for Quantum Proofs: Quantum Computation and Cryptographic Primitives (S3.5-COM-Abdolmaleki) School of Computer Science PhD Research Project Competition Funded Students Worldwide Dr
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information with a high degree of accuracy and attention to detail and will have previously supported student or programme related processes. They will also be able to build effective relationships with staff
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pathways interact to control germination. This project will provide training in bacterial physiology, infection biology, quantitative microscopy and computational data analysis — a diverse skill set that
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, computer science or signal processing. Funding Notes This is a self-funded research project. Full details of how to apply can be found at the following link: https://www.sheffield.ac.uk/acse/research-degrees
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to explore include mono-chromatic and multi-chromatic illumination, structured illumination, and telecentric illumination distortions. Computer based image analysis approaches will be developed, including
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the option to develop numerical simulations of the spicule processes by means of our market-leading computational tools, would that be a preferred methodology of the student. This project may require
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applicants with previous training in ecology, agriculture or computer science. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Funding Notes Self
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, and constraint satisfaction. This new framework would also allow higher flexibility in managing the trade-offs between solution accuracy, optimality, and computational efficiency, to better adapt