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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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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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, 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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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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This role is full-time, fixed-term for 18 months. Closing date: 23:59 on 6th March 2026 Interview date: TBC By reference to the applicable SOC code for this role, sponsorship may be possible under
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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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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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, 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