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partners. The postdoctoral researcher will also contribute to teaching in areas such as Machine Learning, NLP, AI for Education, Explainable AI, and Python-based applied seminars, supporting course
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expertise in NGS data analysis (WES, RNA-seq). - Experience with R and/or Python for statistical and bioinformatic analyses. - Experience in integrative multi-omics analysis. - Knowledge of biostatistics and
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. Proficient in Python, with working knowledge of bash and experience using HPC or cluster environments (e.g. SLURM). A pragmatic scientist who combines technical depth with a clear translational, goal‑oriented
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applications and end user experiences Writing code using programming languages such as C#, C++, Python, Kotlin, Java or Swift Developing and implementing APIs to write XR applications and use OpenXR standards
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languages/software (e.g., R, Python). Prior experience conducting empirical research on questions related to the lab’s research focus. Prior experience managing others and building community. Equipment
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and/or performance. Appointments include conducting research or project management under the direction of a faculty member. Examples of current and past projects can be found at http
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or Python (data management, statistical modelling, visualisation, and reproducible workflows). Excellent English (written and spoken); Spanish and/or Catalan are an asset, and additional European languages
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(Python, Julia, C++, …) Good analytical skills Good organizational skills and ability to work both independently and collaboratively Effective communication skills and an interest in contributing
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, contribute to research and the development of models for policy and economic analysis in Python and R. Utilize programming skills (including Python, R, and SQL) to compile, clean, organize, and maintain
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. The post will be primarily based at Guy’s Campus. The successful candidate will work closely with Professor James Arnold (https://www.linkedin.com/in/james-arnold-1a0497263/ ) to support and further develop