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Establish MS-based biomarkers for target engagement and clinical studies Analyse datasets in Python/R; publish and mentor students What we offer Ownership of the LRRK2 workstream within a major international
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, significant coding experience (both Python and C/C++ or P4), and a record of working in a Linux environment and related scripting languages. How to apply Applications for this vacancy are to be made online via
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quantitative discipline. You will have experience analysing complex, high-dimensional datasets and applying quantitative or computational methods, together with strong programming skills in Python or a
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, including imaging mass cytometry (IMC) Advanced programming and data analysis skills in R and/or Python Downloading a copy of our Job Description Full details of the role and the skills, knowledge and
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, bioinformatics, infectious disease epidemiology or a related discipline. Have experience with molecular biology and next-generation sequencing. Have strong computational skills (e.g. Linux, R, Python). An interest
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health, health data science, medicine, pharmacy or a related discipline. Experience analysing complex datasets using R, Stata, SAS or Python. Knowledge of epidemiological methods and healthcare data
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, computational biology, genomics, or a related quantitative field. You will have strong programming skills (Python, R, Linux) and experience analysing large-scale sequencing datasets, ideally RNA-sequencing data
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) in Psychology, Cognitive Science, Computational Linguistics, Linguistics, Computer Science, or a related field. Strong quantitative, statistical, or computational programming skills (e.g., R, Python
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programming skills, such as Python, excellent organisational and record-keeping skills, and the ability to communicate research clearly through publications, presentations and collaborative work are essential
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discipline. You must have experience with conducting independent research in AI or data science. You will have strong programming skills in Python and modern machine learning frameworks, experience working