289 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" Fellowship positions in United Kingdom
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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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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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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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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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, 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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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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, 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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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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modelling, particularly finite-element based multiphysics and electromagnetic packages and techniques, and bespoke code for component simulations. Experience of relevant lab techniques – optical testing