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funding, and industry links. A strong work ethic, and the ability to work well independently, and as a member of a broader team, including with industrial partners. Demonstrated ability to mentor and/or
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experience. Experience generating, processing and interrogating genomic, transcriptomic and epigenomic data Experience with Oxford Nanopore Technologies. Experience with computer programming, scripting
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For The ideal candidate for this role is one with a demonstrated ability to conduct quantitative research and publish outcomes in high-quality peer-reviewed journals. You should possess strong quantitative
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and analysis. Proficiency in a wide range of analytical chemistry techniques and methodologies. Ability to travel or drive to various locations for in situ work as required. Excellent teamwork and
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, organised researcher who can evidence: PhD or equivalent, in a relevant branch of mathematics, or near to completion of a PhD. Expert knowledge of algebraic geometry. Proven ability to produce research
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Revolution Industrialisation Centre at the University of Nottingham and contribute to the Power Electronics, Machines and Drives Research Group (PEMC). Your research will focus on electrical machines, drives
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goal of developing new approaches towards CO2 -free production of speciality chemicals. Candidates should have a demonstrated ability to work in technology-oriented chemistry projects and the flexibility
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and written communication skills in English. 4. Demonstrated ability to take research initiatives and work collaboratively and individually. 5. Not in possession of a PhD degree at the date
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. [Essential] Application Procedure Applicants should submit (pdf or word): A Full curriculum vitae - including names and contact details of three referees (including email addresses). - three-page maximum List
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one research fellowship, in the framework of the POWER project “Empowering a Digital Future”), financed by own reources, in the following conditions: Scientific area: Informatics engineering