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Computing Methods for Physical Sciences Section in CSED. The MsM group is focused on delivering multiscale, multi-fidelity computational models and systems using algorithms and analytics for materials and
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) with a particular focus on event forecasting, predictive maintenance, and corrective actions. The role would encompass working on forecasting, predictive, and text generation algorithms with Large
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measuring MEMS devices, as well as designing feedback loops and control algorithms for their precise operation Experience using software tools to simulate the physical properties and behavior of MEMS
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 2 months ago
/Administrative Internal Number: 25867 POSTDOCTORAL ASSOCIATE, Biology, to develop experimental approaches for understanding how genetic perturbations shape microbial cellular phenotypes. The postdoctoral associate
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or accelerated acquisition and reconstruction algorithms will be highly valued. Instructions Interested candidates should apply via Interfolio link with their CV (including a full list of publications), a
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Posting Description POSTDOCTORAL ASSOCIATE, Biology, to develop experimental approaches for understanding how genetic perturbations shape microbial cellular phenotypes. The postdoctoral associate
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and complex system simulations develop, implement, test, and benchmark computational models, algorithms, data pipelines, and research software prototypes contribute to optimisation, simulation, sampling
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to complex ecological networks design and implement novel coordinate-independent numerical algorithms utilising automatic differentiation and pseudo-arclength continuation methods to identify contact points
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modeling and simulation • Development in Finite element and alternative discretization methods (e.g. Lattice Boltzmann methods) • High-dimensional algorithms and high-performance computing
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orientation, gender identity or expression, genetic information, disability, or veteran status consistent with UW Executive Order No. 81 . Benefits Information The University is committed to providing excellent