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quantum attacks Verifiable and privacy-preserving machine learning (e.g. proving model integrity or fairness without revealing training data) Scalable ZK-proof constructions for federated and
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, independent research program on high-level cognitive processes in humans (e.g. aesthetics, attention, attitudes, decision-making, effort, inference, language, learning, memory, preferences, reasoning
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<span lang="en">Leipzig University</span> | Leipzig, Sachsen | Germany | about 12 hours ago
with reinforcement learning, physical reservoir computing and programmable hydrodynamics.
Start Date: January 1, 2027 (or earliest possible date)
Research Focus: How many collective degrees
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consumption on complex algorithmic or cognitive tasks. This project is part of the ELEVATE MSCA Doctoral Network (https://www.elevate-dn.eu/) and co-supervised by our partners at the university of
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Human-Centered Artificial Intelligence and the SLAC Machine Learning Program. KIPAC also has strong ties and active collaborations with theorists at LITP @ Stanford and SLAC. The positions offer a
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is focused on using spatial profiling and machine learning of human specimens in combination with functional experiments in animal models to understand cancer initiation, progression, and metastasis
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position will be affiliated with either the research group It and Learning Design ( https://www.ikk.aau.dk/forskning/forskningsgrupper/l-ild and https://www.ikk.aau.dk/forskning/forskningsgrupper/kild
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advances the progress of research. Your tasks involve: Developing a machine learning-based model to map satellite retrievals to ground based air pollutant concentrations Conducting error assessment on the
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Your Job Generating growth models of human neurodevelopment, using unsupervised and supervised learning approaches Optimising leaning models to predict clinical phenotypes and cognitive maturation
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Leibniz-Institut für Astrophysik Potsdam (AIP) | about 2 months ago
modelling. At the core of this newly funded Leibniz ScienceCampus SCALES are next-generation simulation techniques, hybrid modelling strategies, and the use of machine learning, particularly neural networks