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of Finland under the supervision of the Academy Research Fellow Marcelo Hartmann and Research Fellow Luu Hoang Phuc Hau (Nanyang Technological University). We have been developing computational algorithms
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computational algorithms and theory grounded in notions of information geometry and Riemannian geometry to enhance Bayesian statistical inference and machine-learning related methods. The successful deployment
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with patient-derived clinical material. The work combines differentiation systems and organoid or assembloid models with interaction and expression proteomics, with the aim of connecting genetic variants
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genetics and/or population health. We primarily seek to appoint at the Research Fellow level, requiring postdoctoral experience and emerging record of independent research, but will also consider candidates
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an ambitious researcher with expertise in artificial intelligence, machine learning, or computational statistics, and a demonstrated interest in applications to human genetics and/or population health. We