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theory, reinforcement learning, robotics and perception. You will investigate new algorithms and methods for robust and adaptive manipulation, including learning-based control for robotic systems and
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• Ability to give and receive scientific criticism in a constructive manner • A positive attitude and drive for learning skills, methods and theory • Ability to work in a structured manner, facilitating
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, primitives for quantum machine learning, and advanced aspects of learning theory. The work is both theoretical, i.e., formulating and proving theorems, and numerical, i.e., converting algorithms into code and
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interactions studies. The focus of the PhD-thesis needs to contain knowledge areas such as learning theory, cognitive theories with applications on studies of learning, design of learning environments, design
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interdisciplinary social science research on communication behaviors, including exploring how AI-assisted coding and analysis can reduce research barriers and expand research capacity for scholars. Position
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of the art (the project’s research field) Theory Methodology Work plan Results and hypotheses Bibliography Applications with a project description exceeding 1200 words will not be processed. The project
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learning and information theory, and expertise in at least one of the following areas is preferred: AI alignment, (differential) privacy, and coding or information theory for AI systems. Proficiency in
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health products, e.g. toothpaste. The simulations will utilize molecular dynamics and first principles DFT codes to model enamel surfaces and their interactions with the environment of the mouth. You will
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, e.g. in Python, particularly for machine learning Experience with machine learning theory, evaluation metrics, algorithmic fairness, statistics, or optimization is an advantage Language requirement
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- Center for the Theory and History of the Image at the University of Basel The center invites applications from outstanding junior and senior researchers in the humanities, social sciences, and natural