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for probabilistic unsupervised learning for structured biological data. The successful candidate will: Develop probabilistic factor models and scalable inference algorithms for structured biological (multi-view) high
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include but are not limited to statistics and probability, stochastic modeling, scientific computing, mathematical optimization and control, numerical analysis, and relevant adjacent fields. Candidates with
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, climate economics, operations research, or statistics); • Proficiency in at least one scientific programming language (e.g. Julia, Python, etc) required; • Experience with numerical models (preferably
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runaway models and numerical methods in OpenFOAM. Design and optimize computational frameworks for high-performance simulation of reacting flows and battery safety phenomena on modern GPU architectures
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human cell lines, primary cultured neurons, and rodent models to investigate the cellular operational mechanisms of RNA modification in regulating gene expression in the context of neuroinflammation
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collaboratively building new generations of world leading simulations. As such, we are particularly interested in candidates who wish to develop or deploy new numerical methods, subgrid models, or applications
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 2 months ago
University (IRMAR). The team expertise encompasses mathematical (stochastic) and numerical modelling of ocean flows, observational and physical oceanography, data assimilation and machine learning. Gathering
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the University of Texas at Arlington (UTA) (http://www.uta.edu/biology/ ), invites applications for a Tenure-Track faculty position in Genomics at the rank of Assistant or Associate Professor. We seek to expand
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activity will be the follow: 1. Development of linear and nonlinear dynamic models of origami-based unit cells incorporating multiple resonators, 2. Implementation of computational models and numerical
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of Gender Studies, Cultural Studies, Media Theory, Literary Theory, and Literature for Children and Young Adults are well established. More than 5000 students are enrolled. Where to apply Website https