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complex droplet flow patterns and the relations with the chemistry. One successful theory for optimization of surfactant impact and blends is the hydrophilic-lipophilic deviation balance. This enables us to
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SQL databases and file repositories. We are now taking the next strategic step: developing ontologies and a dynamic knowledge graph to semantically link our internal data systems - and connect them
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: Operator Algebras, Machine Learning, Analytic Number Theory, Automorphic Forms and Representation Theory Appl Deadline: 2025/10/10 11:59PM (posted 2025/09/10, listed until 2025/10/10) Position Description
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create multi-fidelity predictive models that integrate data from quantum simulations and experiments, using techniques such as equivariant graph neural networks with tensor embeddings. We aim to train
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of the creator economy, develop a new theory of organising and platform power, and provide policy recommendations for platforms and regulators. The PAY4PLAY team includes the principal investigator
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ideal candidate has strong familiarity with several of the following subjects: algorithmics, mathematical modelling, graph transformation, algorithm engineering. Applications of these areas to systems
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science, computational chemistry / biochemistry, applied mathematics, or a related area. The ideal candidate has strong familiarity with several of the following subjects: algorithmics, mathematical modelling, graph
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mechanising theory and/or practice of computer science in proof assistants. Fluency in English is required. Questions? Curious to learn more about the position and environment? Please feel free to reach out
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and categorical quantum theory. The Department of Mathematics and Computer Science is an inclusive and international working environment with state-of-the-art facilities and strong traditions
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of the department: Algebraic and arithmetic geometry, applied algebra, combinatorics, geometric group theory, geometry and geometric analysis, Lie theory, representation theory, number theory, and topology, as