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using modern Bayesian computing and probabilistic modelling tools such as Stan, TMB, INLA, PyMC. Experience applying reproducible research and team science tools and workflows (e.g. Git/Github
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State University of New York University at Albany | Albany, New York | United States | about 7 hours ago
transformative paradigm. By taking advantage of qubits' ability to exist in multiple states simultaneously and exploiting the probabilistic and delocalized behaviors of quantum systems, quantum computing promises
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employment conditions. More information about the department is available at: https://www.umu.se/en/department-of-computing-science/ The department's research on responsible and human-centred artificial
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safer, more reliable, and more sustainable renewable energy systems. You are driven by scientific curiosity, enjoy working with complex multi-physics models, and are eager to advance probabilistic methods
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of novel mechanistic insights is gained through the application of novel probabilistic deep-learning models that automatically extract biological and statistical knowledge from your in vivo perturbational
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Your Job: This research primarily seeks to incorporate advanced neuron models, such as those capturing dendritic computation and probabilistic Bayesian network behavior, into unconventional
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of Mathematical Sciences, University of Delaware The Mathematical Sciences Department (https://mathsci.udel.edu ) at the University of Delaware seeks to appoint two tenure-track assistant professors in the area of
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. Probabilistic Digital Twin Synchronisation: Developing robust Bayesian frameworks and uncertainty quantification (UQ) to bridge the reality gap between real-world sensor data and high-dimensional computational
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join the Tang Lab. The Tang Lab (https://tangxinlab.org/ ) develops explainable, autonomous, and multimodal artificial intelligence (AI) systems to advance biological discovery. Our research integrates
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calculus, type systems, and models for probabilistic programming languages. Permanent members : A. Saurin, T. Ehrhard, C. Faggian, P.-A. Melliès, D. Kesner, G. Bernardi. Where to apply Website https