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-world data, with strong programming proficiency in R or Python and version control systems like Git. Familiarity with spatial and statistical libraries (e.g. INLA, PyMC, scikit-learn, GeoPandas). Proven
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United Kingdom Application Deadline 4 Jan 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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Associate to join a growing programme investigating how age-associated changes in haematopoiesis shape inflammatory responses relevant to cardiovascular disease. Working within the School of Cardiovascular
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) Country United Kingdom Application Deadline 15 Dec 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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-world data, with strong programming proficiency in R or Python and version control systems like Git. Familiarity with spatial and statistical libraries (e.g. INLA, PyMC, scikit-learn, GeoPandas). Proven
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successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area (or pending results). Strong programming skills
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results) Proficient in using R, Python or similar programming language Experience of working with clinical or equivalent data. Experience in developing analytic pipelines. Desirable criteria Experience