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Testing System (IELTS) average of 6.5 or above with at least 6.0 in each component, or equivalent. Please see this link for further information: https://www.sheffield.ac.uk/postgraduate/phd/apply
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/coding and experimental hardware skills are desirable. Strong analytical and mathematical skills. Passion for research and willingness to learn. Good presentation, communication and scientific writing
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• Previous knowledge about nanopore experiments, protein purification, and/or machine learning is a clear plus. • Experience in data analysis and coding (preferably Python) • A systematic
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include a github link or proof of coding proficiency. Detailed CV, including personal contact information and date entries Copies of certificates and diplomas (BSc, MSc, and PhD degrees) The names and
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a 10-day ASPECT coding workshop. Applicants thus preferably have strong affinity in computational methodologies. Selected candidates will closely collaborate with other team members, colleagues and
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program here: https://www.sv.uio.no/english/research/phd/application/phd-fellowship/ Documented research experience relevant to the project is a requirement. This may come from a master’s thesis
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" rel="noopener noreferrer" href="https://hectorfellowacademy.applicationportal.org/">HFA application portal.
The Hector Fellows will arrange interviews (via skype or if feasible in
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details visit our website: https://impactclimate.mit.edu/ Candidates must have completed a Ph.D. in a relevant field by the start of the fellowship, should be passionate and informed about climate
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processing, electrical engineering or a related subject. Full details of how to apply can be found at the following link: https://www.sheffield.ac.uk/acse/research-degrees/applyphd Applicants can
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website: https://www.sheffield.ac.uk/postgraduate/phd . Further Information on the Particle Physics group in Sheffield and our projects can be found here: https://www.sheffield.ac.uk/mps/research/physics