233 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" Fellowship research jobs in United Kingdom
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eligibility under the Global Talent visa. For more information please visit: https://www.gov.uk/global-talent What we offer in return · 26 days holiday plus approx.16 Bank Holidays/days that the University is
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aimed at advancing women’s careers in mathematics and we particularly welcome applications from women. Applications will be made through mathjobs.org https://www.mathjobs.org/jobs/fellowship/26976
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-record in mentoring and supporting the development of early-career researchers. The profile and research interests of the group may be found at: https://www.birmingham.ac.uk/research/centres-institutes
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that are relevant to industry demands while working on research projects in SIT. The researcher will be part of the team of the MCCS NATURE Project (https://www.nparks.gov.sg/Cuge/Programmes-Schemes/Research
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sensor. This involves close liaison with colleagues across campus, especially as part of the Quantum Technology Hub in Sensing, Imaging and Timing (QuSIT, https://qusit.org/ ), partner institutions
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, please prepare a code sample demonstrating your programming and data analysis skills (Include code files in a zip file named “Surname_Firstname_Pre-doctoral_Application**.**zip” with explanation of context
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. You will need excellent programming skills (e.g. Python, MATLAB), and a solid understanding of grid codes, standards, and flexibility modelling. Strong communication skills, the ability to work both
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the world’s fastest supercomputers. Two of our project partners, the University of Tennessee and Valencia Polytechnic University, will support you in integrating these codes into three widely used HPC libraries
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, developing upscaling techniques to build continuum models for biofilm mechanics, running code to simulate biofilms using continuum methods, and interfacing with other team members and experimental
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: Searching, screening, managing and qualitative coding of data sources for analysis. Writing up of findings for contribution to academic publication. Collaborative work across the University of Nottingham and