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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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inclusion (EDI) are a key component of the University’s Strategy and a central part of everything we do. We also live by our Purpose and Values and our Staff Code of Conduct. At Durham we actively work
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and Experience Strong statistical analysis and data handling skills Understanding of data structures, data modelling and data management Ability to write robust, reproducible code in Python or R
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Closing Date: 8th March 2026 at 23:59 (GMT) Role Type: Full time, fixed term contract - until 31st August 2026 By reference to the applicable SOC code for this role, sponsorship may be possible
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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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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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Code of Conduct. At Durham we actively work towards providing an environment where our staff and students can study, work and live in a community which is supportive and inclusive. We welcome and
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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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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