327 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:"-"BioData" positions at University of Sheffield
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Avalanche photodiodes for detecting weak infrared optical signals School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Jo Shien Ng Application Deadline: Applications accepted all year round Details Would you like to develop novel semiconductor infrared sensors...
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Characterization and convergence of non-Brownian webs School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Nic Freeman Application Deadline: Applications accepted all year round Details The Brownian web is a dense system of coalescing Brownian motions in 1+1...
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that any future Technical Training Programme meets Faculty and School technical support requirements. ● Maintain a culture of customer service excellence and professionalism within the areas
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, particularly in computational physics (coding), applied mathematics, and independent experimental design. Access to opportunities to build optional, self-directed experience in these areas before university
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assessment of the Engineering Levels 3 through to 6 of the apprenticeship programme. You will be required to deliver teaching, learning and assessment and maintain a portfolio of employers and learners to high
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that the outcomes of the programme curricula and the requirements of the professional bodies are met. This includes producing appropriate evidence-based lesson plans and delivering teaching sessions as required as
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BBSRC Yorkshire Bioscience DLA Programme: Evolution of a Gene Regulatory Network Responsible for Avian Flight
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BBSRC Yorkshire Bioscience DLA Programme: The needle in the haystack - single molecule detection of extracellular vesicles in complex biological contexts
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BBSRC Yorkshire Bioscience DLA Programme: The genetic and developmental control of complex nanostructure formation in butterfly wing scales
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this challenge by: • Applying innovative methods for visualising actin filament architecture using advanced imaging modalities (e.g., super-resolution microscopy) • Developing computational approaches