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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 Details’ section
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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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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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listening or immersive media Strong communication skills, documenting research code/data, stakeholder reporting, and collaborating across technical and creative disciplines Strong programming skills, Python
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coding, programming, or automated/high-throughput data generation and analysis, and an interest in developing and maintaining an industry-standard automated chemistry facility. You will be well organised
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development best practices including coding, security and compliance standards. Support change and release management through testing, documentation and safe deployment. Provide technical support and
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framework (React Native or Flutter preferred). Demonstrable coding and digital development abilities. Understanding of prompt engineering, fine-tuning foundation models, and responsible AI principles
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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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neutrino physics—using a combination of CMB and large-scale structure data. The analysis will rely on modified Boltzmann codes (e.g. CAMB or CLASS) and Monte Carlo techniques for parameter inference