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or equivalent experience in an appropriate discipline A background in numerical ice-sheet, glacier or fracture modelling, or equivalent experience Robust experience with computer coding (e.g., Python, C++) Track
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ability to write code in Python Experience working in a research team Excellent writing and communication skills, especially for academic papers Desirable criteria Experience working with NHS data or other
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. Candidates must also have excellent programming skills in a relevant scientific language, such as Mathematica or Python, to facilitate advanced data analysis of measurement outputs. Apart from being able
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ability to write code in Python Experience working in a research team Excellent writing and communication skills, especially for academic papers Desirable criteria Experience working with NHS data or other
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, field experiments) and programming tools (Python, z-Tree, oTree, Gorilla) for running and designing behavioural experiments. They will be willing to engage regularly with stakeholders and develop strong
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and commercial tools (e.g. XCMS, MZmine, Compound Discoverer, GNPS, SIRIUS, etc). Proficiency in one or more programming languages (e.g. R, Python). Experience with continuous integration and best
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especially LLMs, evidenced by publications and/or dissertation or equivalent evidence of expertise and completed research outputs Proven ability to write code in Python Experience working in a research team
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. Candidates must also have excellent programming skills in a relevant scientific language, such as Mathematica or Python, to facilitate advanced data analysis of measurement outputs. Apart from being able
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, bioinformatics or related discipline Strong computational skills, with expertise in scripting in BASH and either R or Python Experience with analysing complex datasets on high-performance compute clusters A track
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coding expertise (e.g., Python, R, JavaScript) to customize and integrate AI tools, build APIs, and create technical solutions for marketing challenges. Collect research data; this may be through a variety