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mechanisms for renewable energy, drawing on tools from industrial organization, auction theory, and mechanism design. It examines how government support schemes can be improved to enhance competition, reduce
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focused on developing secure communication systems for AI-driven applications. The objective is to investigate, design, and experimentally validate information-theoretically secure coding schemes tailored
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areas of nanoscience and nanotechnology. Job title: PhD Student in Computational Materials Science Research area or group: Theory and Simulation Group Description of Group/Project: The Theory and
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project "Information Field Theory for Experiments at Large Research Facilities" has a PhD opening in the field of data-intensive radio astronomy. Methods of information field theory will be used
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Responsibilities Writing a dissertation in the field of Educational Theory and School Research Collaboration in the university research focus area „Heterogeneity and Cohesion“ Contribution to research projects with
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systems, and space applications. We combine theory, physics-based simulations, machine learning, and autonomous workflows to understand and design materials that can perform under conditions where
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of Economics seeks highly motivated and talented candidates for the PhD programme in economics. The doctoral programme aims to provide thorough training in economic theory and methods and to educate candidates
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harmful content or incorrect code. This project introduces a new idea: instead of relying on opaque, heavy machine-learning models, it learns transparent, rule-based rewriting systems that can transform
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description of Group/Project: The Theory
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science, physics, or related fields Coursework in algorithms, computational complexity theory, and information theory Relevant coursework and experience in spiking neural networks, and statistics A strong