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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
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computing to develop a continuous and local alternative to existing gradient-based learning rules, bridging theories of predictive coding with event-based control/ Simulate models of the learning algorithm
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. The unique and internationally competitive doctoral program provides cutting-edge methods and advanced theories in in the hub science Psychology of Transformation as well as the following five
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are collaborating in ScaDS.AI on advancing a broad spectrum of AI. The spectrum of available topics ranges from core areas of AI Theory, Hardware, Mathematic foundations, AI applications to societal aspects of AI
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tunnel testing and statistical modelling using extreme value theory, the project will yield predictive frameworks for structural risk under rare yet damaging wind conditions. The results will support
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Job Code: 16/2025 Job Offer from July 03, 2025 International Max Planck Research School for Global Biogeochemical Cycles (IMPRS-gBGC). In cooperation with the Friedrich Schiller University Jena
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theory and code development. Basic programming skills are expected. General requirements: very good university degree (M.Sc. or equivalent) in chemistry, physics, or materials sciences; specialization
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consortium. Specific requirements: We are looking for a motivated candidate, preferentially with theoretical background and strong interest in electronic-structure theory and code development. Basic
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the traffic flow. The project will build on multidisciplinary methods from traffic flow theory, dynamical systems, and optimal and cooperative control. These methods include accurate detection of queues and