685 data "https:" "https:" "https:" "https:" "Inserm" positions at University of Sheffield
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established protocols for low-biomass samples. Alongside generating molecular data, you will undertake initial data processing and quality controls, ensuring accurate quantification, structured metadata capture
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and initiatives, e.g. evaluation, feedback, and data reporting. Support student marketing and communication to drive engagement with employability and careers opportunities. Work with Employability
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Optimisation of powder processing routes for plutonium disposition: impacts of milling and additives
instrumentation for materials formulation, processing, characterisation and performance assessment. More information on these facilities can be found at: · https://www.sheffield.ac.uk/royce-institute
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. it will be possible to make Scholarship applications from the Autumn with a strict deadline in late January 2020. Specific information is avaialable at: http://www.sheffield.ac.uk/acse/research-degrees
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link for information on how to apply: https://www.sheffield.ac.uk/cbe/postgraduate/phd/how-apply. Please include the name of your proposed supervisor and the title of the PhD project within your
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, providing crucial data necessary for: Understanding caisson performance in diverse soil conditions, including layered, heterogeneous soils, and sloping seabeds. Numerical model validation and design
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experience Essential Application/interview Further Information Grade 6 Salary £32,080 - £36,636 per annum Work arrangement Full-time Line manager Tom Chadwick Direct reports None Our website https
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the frontier of that question. In your research, you will work with cutting-edge observational data from the world’s most powerful telescopes, including the Daniel K. Inouye Solar Telescope (DKIST) and Solar
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webpages for further information: https://www.sheffield.ac.uk/postgraduate/phd/scholarships Loans are available to eligible home fee-paying doctoral students studying postgraduate research courses: https
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their relevance to ALS disease mechanisms. For more information about the project, or to discuss a potential application, please contact Dr Chun Guo (https://www.sheffield.ac.uk/biosciences/people