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controlling nucleotide synthesis Overall, this project will shed new light on how cell cycle progression is regulated, potentially identify novel therapeutic targets for the development of anti-cancer therapies
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, modelling, software development, and data analysis. This PhD project will focus on addressing the short baseline anomalies through measurements of key parameters which govern sterile neutrino oscillations and
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focus on the construction of detector modules for the new all-silicon Inner Tracking detector (ITk), part of which is being built in the University of Sheffield Semiconductor Detector Development Facility
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the development and refinement of Monte Carlo simulation generators to accurately model neutrino interactions with various target materials. Detailed comparisons of these simulations to data from existing neutrino
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researchers dedicated to improving fraction learning and teaching. Supervision will be provided by Dr Sabrina Burr and Dr Emma Blakey in the Sheffield Cognitive Development Lab. The project offers excellent
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mathematical ecosystem modelling with experimental data. Our lab strongly supports cross-disciplinary approaches to research. We straddle the clusters of Molecular Microbiology and Ecology and Evolution, and you
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to b-bbar. Additionally, the student will have the opportunity to assist with hardware development for the ATLAS tracker upgrade (for the HL-LHC era), gaining invaluable experience in experimental
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website https://www.sheffield.ac.uk/eee For informal enquiries about this job contact Professor Mahnaz Arvaneh, on m.arvaneh@sheffield.ac.uk Next steps in the recruitment process It is anticipated
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Details Evolved resistance to the chemicals that we use to manage pests such as insects, fungal pathogens and weeds is a global threat to health and food security. We study the evolution of resistance
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by their tracking in real time and behavior analysis. The current project is aimed at the development of novel techniques that can recognise a certain types of motion and inference. For instance, one