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. Strong software engineering background, ideally including: Robotics, automation, and AI innovations DevOps / MLOps / CI/CD Large-scale systems Empirical software engineering Testing and validation
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architectures) to large-scale biomedical datasets. These models will be used to work with different types of data from the healthcare and biological domains, including genomic profiles, and clinical event
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Phenomenology including Physics beyond the Standard Model, Dark Matter, Axions, Higgs and Collider physics, Neutrino physics and astrophysics; Cosmology including Large Scale Structures, Physics of the Early
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high-performance classical simulations, working at the interface between quantum theory, numerical methods, and large-scale scientific data analysis. The position is not limited to quantum computing and