27 coding-"https:"-"https:"-"https:"-"https:"-"Institut-Agro-Rennes-Angers" Fellowship positions in United Kingdom
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their analytical work with numerical simulations coded e.g. in Python, and present their work in written notes and manuscripts, as well as give presentations to the project team and external stakeholders
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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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Sponsorship Queries: This role has been assigned an eligible SOC code and meets the salary requirements for Skilled Worker Sponsorship if full time and appointed at Grade 7.4. Please consult our Skilled Worker
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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
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high degree of proficiency • Ability to code at the level of implementing complex proof-of-concept compilers and interpreter prototypes • Familiarity with mainstream proof assistant is not required
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Have or be close to the completion of a PhD in cognitive neuroscience, neuroimaging, experimental psychology, computer science or a closely related discipline. Experience in the design, coding and
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experience in the development of first-principle wave models. Recent research experience in the development of numerical codes for complex electromagnetic scattering scenarios, and the use of full-wave
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interviews Work with research nurses in participating sites to recruit patients to the study Play a key role in coding and analysing research data, including secondary analysis of data Contribute to public