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of mRNA or expression libraries lead in vivo studies, including delivery, tissue collection, phenotyping, and downstream analysis integrate and analyse multimodal datasets using Python or R to inform
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of the drivers behind a thriving university environment. Your key responsibilities will be to: Design and deliver sustainable analytics solutions using SQL and Python Translate data into insights and guide
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timelines clearly About you An experienced Data Scientist with strong machine learning and Gen AI expertise, and a track record of delivering production‑grade solutions Excellent proficiency in Python and SQL
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proficiency in Python and R for scientific computing and pipeline development demonstrated experience in quantitative, statistical or data-driven modelling of biological systems experience developing
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of mRNA or expression libraries lead in vivo studies, including delivery, tissue collection, phenotyping, and downstream analysis integrate and analyse multimodal datasets using Python or R to inform
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. • be located at the agreed project location(s) and, if required, comply with the university’s external enrolment procedures. Selection criteria Skillset: Proficient in Python, machine learning, and
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problem-solving skills. Evidence of highly developed verbal and written communication skills. Demonstrated programming skills in a Unix/Linux environment (E.g. Python, R). Knowledge of regional climate
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skills using R, Stata, SPSS, MPlus or Python. Experience managing nationally representative survey datasets and conducting complex statistical analyses (including multilevel modelling and SEM). Here's how
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relevant university degree and or hands-on experience programming liquid handling platforms (e.g. Hamilton Star V, VENUS or equivalent), including experience with Python-based scripting or similar languages
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. Ability to undertake complex analyses and data modelling using programming languages such as Python, R and/or hydrological modelling packages, with adherence to FAIR data principles (Findable, Accessible