360 coding-"https:" "https:" "https:" "https:" "https:" "https:" "Instituto Superior Técnico" uni jobs at University of Sheffield
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: Applications accepted all year round Details Mutation in the non-coding region of C9orf72 gene represents by far the most common genetic cause identified for amyotrophic lateral sclerosis (ALS), a rare, lethal
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Our website https://sheffield.ac.uk/smph For informal enquiries about this job contact Dr Heather Wilson, Principal Investigator, H.L.Wilson@sheffield.ac.uk Next steps in the recruitment process It is
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application form using the following link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying All applicants should ensure that both references are uploaded onto their application as a decision will be
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years stipend and tuition fees at the Home status rate at the School of Mechanical, Aerospace and Civil Engineering at the University of Sheffield under the supervision of Professor Pierre Ricco (http
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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 https
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interdisciplinary research. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Funding Notes This is a self-funded project. Applicants must secure their own
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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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about this project. Funding Notes We welcome inquiries from: - applicants that have already secured PhD funding - self-funded applicants References https://microbialphysicsgroup.sites.sheffield.ac.uk
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Ability to lead and work in teams Essential Application/Interview Experience and capability in blast computational simulations using codes such as Viper:: Blast, machine learning, and/or LS Dyna Desirable
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funding. References 1. Small-scale reconstruction in three-dimensional Kolmogorov flows using four-dimensional variational data assimilation (https://www.cambridge.org/core/journals/journal-of-fluid