70 coding-"https:"-"https:"-"https:"-"https:"-"https:" research jobs in United Kingdom
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multiple researchers, ensuring that research code is robust, reproducible, and accessible. The role is designed to provide broad exposure to modern computational neuroscience and neuro-AI research, with
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learning in chemistry would be advantageous, as would familiarity with ML approaches for atomistic modelling (e.g., MACE, ACE, NequIP, PhysNet, reactive MD). Prior contributions to scientific code
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of code to conduct complex comparative genomics, implement HMM searching strategies and conduct phylogenetic analysis on a grand scale while making use of sophisticated phylogenetic methods (for example
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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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able to conduct a range of bioinformatic approaches involving the use of code to conduct complex comparative genomics, implement HMM searching strategies and conduct phylogenetic analysis on a grand
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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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, 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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, 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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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