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experiments, DNP-enhanced approaches for natural-abundance oxygen-17 and nitrogen-15 NMR spectroscopy, and the application of multidimensional correlation experiments to elucidate hydrogen-bonding networks and
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for better training and novel network designs. Low Effective-dimensional Learning Models. We will extend foundational theory of how large ML systems can be regularised to have dramatically fewer trainable
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-integral and nonequilibrium Green-function methods, complemented by numerical approaches based on tensor networks. The Condensed Matter Theory group of Tero Heikkilä has strong expertise in non-equilibrium
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: exact diagonalization, Monte Carlo, and where appropriate, tensor network techniques. The postholder should also have a broad familiarity with the theory of strongly correlated systems and excellent oral
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We are seeking a postdoctoral researcher to support the project "Social networking in the era of artificially intelligent agents” funded by the Research Council of Finland. The direction is to
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involve significant interaction and networking with industry partners from many major data center companies, providers, and vendors. Villanova is a Catholic university sponsored by the Augustinian Order
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. Opportunities to connect, network, and grow through the Berkeley Lab Postdoc Association , including social events, professional development, and scientific exchange. A collaborative and inclusive culture where
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transitions of information flow networks, near critical events. The successful candidate will: Develop and apply Transfer Entropy estimators to high-frequency financial time series. Characterise the temporal
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, APIs, BIM platforms, simulation tools, sensors, or robotic hardware. • Ability to engage with academic, industry, government, and professional-society stakeholders. Required Training and Other Conditions
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both theoretical progress and practical implementation in communication networks. Through these efforts, the Postdoc will generate impactful academic contributions that support the design of next