712 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "CNRS " positions at University of Sheffield
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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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catalytic oxidation of organic contaminants in water. Working at the interface of materials chemistry, catalysis, and environmental engineering, you will explore synthesis-structure-activity relationships and
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background in semiconductor physics or engineering. If you are interested in this exciting opportunity, we invite you to apply online at: https://www.sheffield.ac.uk/eee/pgr/apply. Funding Notes Full funding
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First-class or 2:1 MEng or and MSc with merit (over 60%) in a relevant area i.e. Chemical Engineering, Process Engineering, Chemistry, Materials Science, Geoscience etc. Candidates for socio-politico
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Investigating cyber-physical power system resilience and operation School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Xin Zhang Application Deadline: Applications
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of technologies that are used in academia, industry and many related careers. Visit http://www.sheffield.ac.uk/sgs to learn more. Please apply for this project using this link: https://www.sheffield.ac.uk
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BBSRC Yorkshire Bioscience DLA Programme: How does the Oestrogen receptor globally regulate transcription across the genome during development? School of Biosciences PhD Research Project Competition
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BBSRC Yorkshire Bioscience DLA Programme: Human Stem Cell-Based Approaches for Neurotoxicity Testing of Environmental Contaminants (CASE Project) School of Biosciences PhD Research Project
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BBSRC Yorkshire Bioscience DLA Programme: Predicting pathogen evolution: using experimental evolution to understand the impact of phage therapy on Clostridioides difficile School of Biosciences PhD
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Masters, or a Distinction at Masters level with any undergraduate degree (or international equivalents) in Computer Science, Engineering, Physics, or Mathematics and Statistics, we would like to hear from