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Search’ to identify your programme of study: search for the ‘Course Title’ using the programme code: 8100F select ‘PhD Chemistry (full time)' as the programme of study You will then need to provide
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for the ‘Course Title’ using the programme code: “8100F” · select ‘PhD Chemistry (full time) - Chemistry' as the programme of study You will then need to provide the following information in the ‘Further
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and publications, and engage with external partners and software contractors where appropriate. We value code quality, testability, automation, and maintainable research software. This role is suitable
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when required. The successful candidate will be highly motivated, adaptable with the ability to manage a high case load at peak times. You will have a commitment to following professional code
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of the regulations, guidance and codes of practice pertaining to the conduct of clinical trials 3. Able to learn and work to SOPs 4. Strong planning and organisational skills including the ability
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evidence of expertise and completed research outputs Understanding of AI and, especially, deep learning techniques, with a demonstrable understanding of LLMs Proven ability to write code in Python Experience
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work, to an agreed level, in compliance with industry standards, statutory requirements, and relevant codes of practice in a professional and customer-focussed manner. The Estates and Facilities
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features, driving releases, and ensuring code quality, while also representing ‘BOMNADO’ in the wider community through events and collaborations. This is a rare chance to combine deep technical work with
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interest in antimicrobial drug discovery is required. Experience in fragment-based or structure-based drug design, pre-clinical development, coding, or working in integrated drug discovery environments would
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high degree of proficiency • Ability to code at the level of implementing complex proof-of-concept compilers and interpreter prototypes • Familiarity with mainstream proof assistant is not required