320 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "P" Fellowship positions in United Kingdom
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, please contact: Dr Melody Ni – z.ni@imperial.ac.uk Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned
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. If you require any further details about the role, please contact: Dr Melody Ni – z.ni@imperial.ac.uk Available documents Attached documents are available under links.
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evaluating predictive time series models and using R to manage, analyse and visualise data including developing re-usable code in collaborative projects using platforms such as Github is also essential
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questions please contact Dr Charlie Ryan, c.n.ryan@soton.ac.uk . At the University of Southampton, we value diversity and equality. The University recognises that employees may wish to have working patterns
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evaluating predictive time series models and using R to manage, analyse and visualise data including developing re-usable code in collaborative projects using platforms such as Github is also essential
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and to view further information about the role, please click 'Apply' above. For informal enquiries please contact Dr Suzanne Paul, Keeper of Rare Books and Early Manuscripts (sp510@cam.ac.uk
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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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strong numerical background with proficient programming skills and a proven research record through publications and code development. Experience in developing discrete element models (DEM) or hybrid
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, machine listening or immersive media • Strong communication skills, documenting research code/data, stakeholder reporting, and collaborating across technical and creative disciplines • Strong
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) as well as Master’s level training in quantitative research methods (or demonstrable comparable skills). You will have the ability to conduct reproducible (using code) analyses using R or Stata