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and generalizable clinical foundation models (FMs) that can understand and reason across the diverse and often messy landscape of electronic health records (EHRs). By integrating structured data, free
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compilation, optimization and error mitigation collaborate with theoretical computer scientists on developing noise-aware quantum programming paradigms Your Profile: Master in physics, computer science
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The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early
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to the table You have a master's degree (technical college, technical university, university) in mechanical engineering, materials engineering, materials science, physics, electrical engineering, computer science
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The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early
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quantification, model-order reduction, or multi-fidelity methods. The primary fields of application are life science, medicine and health, earth observation, and robotics. Consequently, a MUDS student will learn
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limited field-of-view acquisitions Collaborate with beamline scientists to validate and optimize the LAT scheme About you: Master's degree in Physics/Mathematics/Computer Science or related subject
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to the table You have a master's degree (technical college, technical university, university) in mechanical engineering, physics, computer science, electrical engineering, materials engineering, materials
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scientists on developing noise-aware quantum programming paradigms Your Profile: Master in physics, computer science or comparable fields Good knowledge of quantum theory, ideally quantum information theory
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: Master in physics, computer science or comparable fields Good knowledge of quantum theory, ideally quantum information theory Organizational and communication skills Ability to work independently in