273 coding-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Bristol" Fellowship positions in United Kingdom
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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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or otherwise) • Lead in translating the developed code into shareable (user-friendly) code for use by students in the Lehman or de Boer groups in the first instance, and then by a wider scientific community via
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, looking to pioneer new approaches to treating cancer by combining experience in computational and laboratory science. Ideally, you will have run computational biology simulations or have coding experience
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forces and fluctuating dynamics. Create open-source simulation frameworks capable of predicting informing collision outcomes. Cascade this understanding into droplet collision codes. Informal Queries About
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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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experts; (iv) sharing of code with users/testers to ensure rigorous validation/testing and assessment of TRL, including mapping progress towards: (a) Software as a Service, (b) commercial product
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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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electromagnetic packages and techniques, and bespoke code for component simulations. Experience of relevant lab techniques – optical testing, spectroscopy, cryogenics etc. Experience of instrument design
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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