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Field
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motivation to independently formulate research projects and carry them through to completion; Mathematical skills and command of standard software packages for implementing of optimization algorithms, and a
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radiative transfer codes that bridge observations, as well as cosmological N-body codes including neutrinos. The CompAS and CHARMS projects are devoted to in-house algorithm and code developments driven by
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that bridge observations, as well as cosmological N-body codes including neutrinos. The CompAS and CHARMS projects are devoted to in-house algorithm and code developments driven by leading-edge scientific
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learning, and generative AI Design and implement algorithms for quantum-inspired and quantum-enhanced generative models Investigate theoretical foundations of tensor networks, entanglement, and collapse
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of pollutant spatial patterns to both the community members and the funders Quantification of pollutant sources and their spatial distribution using factor analysis methods Dissemination of research results
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. Developing workflows and machine learning algorithms to accelerate catalyst design (optional). Group: Atomistic & Molecular Modelling for Catalysis Group Requirements Specific Requirements PhD in Chemistry
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evaluation of algorithms for: perception in robotics; sensor based control and navigation ; interactive mobile manipulation; multi-sensor data modelling and fusion. This job offer takes place within
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Description The Quantum Information team at UMass Amherst is involved with modeling and optimization of quantum hardware, as well as development of new modeling methods and algorithms, in collaboration with
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data for urban characterization. The work includes developing algorithms, performing large-scale analyses, and collaborating with partners across disciplines in remote sensing, urban studies, and climate
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
++, taking advantage of Spark, Hadoop, and other tool stacks as appropriate. * Developing computational and algorithmic approaches to understanding the neurobiological mechanism of neurodisorders. * Interact