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integrates large-scale human genetics with molecular and clinical data to generate testable hypotheses that accelerate biological discovery and therapeutic innovation. We are recruiting an ambitious Postdoc in
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records, or other large-scale biomedical datasets. Experience with modern AI frameworks (e.g. PyTorch, JAX) and large-scale computing environments. Familiarity with human genetics is advantageous
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of molecular phenotypes, Mendelian Randomization, co-localisation); Experience of statistical or other programming languages to manipulate large-scale datasets – e.g. Python, R; Strong quantitative skills and
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function at multiple scales. Our overarching goal is to achieve a mechanistic understanding of ciliopathies, a diverse group of human disorders characterized by heterogeneous clinical manifestations