511 computer-science-programming-languages-"St"-"ST"-"St"-"FEMTO-ST" positions at University of Sheffield
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PhD in Quantum Error Correction and its Applications School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Yingkai Ouyang, Dr P Kok Application Deadline: 15 January 2026
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technical problems. Collaborate with colleagues from multiple teams to plan workload and resources to fit project timescales. Research into novel technology to advance knowledge, evaluate new techniques, and
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and led by Prof Graham Leggett. The aim of our five-year programme is to develop a new modular approach to the creation of photonic materials, inspired by structures found in biological photosynthetic
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Synchronization of turbulent channel flow School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Yi Li, Dr Ashley Willis Application Deadline: Applications accepted all
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ideal opportunity to join international research programme bridging across disciplines between soil science, analytical chemistry, and geobiology. The post will contribute to the strategic goals
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of Computer Science, Electrical & Electronic Engineering, and Clinical Dentistry) and beyond. Electrical Impedance Spectroscopy- a technique where a small alternating current is passed through the tissue and the
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such as SQL (Application / Interview) Expertise in data cleaning and linkage, with experience in the storage, extraction, manipulation of complex datasets in a programming language (R or Python) using
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Next Generation Aero-Engine Sealing Technologies School of Mechanical, Aerospace and Civil Engineering PhD Research Project Directly Funded UK Students Prof Matt Marshall Application Deadline: 31
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, Galois, Defence Science and Technology (DST) and the Universities of Amsterdam, Augsburg, Melbourne and Oldenburg. The post will be based in Sheffield working at Sheffield’s School of Computer Science
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line with project objectives. Plan and conduct ecological monitoring fieldwork in three English cities, utilising novel instrumentation and tried-and-tested sampling methods (vegetation, birds, insects