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Field
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develop processes for the purification of hydrogen obtained from diol-based carrier molecules and to evaluate possibilities for the use of electrochemical compression processes. In this PostDoc position you
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discipline. A proven track record in characterisation of the structure or mechanical properties of solid-state materials. Experience with the analysis of either mechanical testing data (e.g. compression tests
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processing, prepreg systems, resin transfer molding (RTM), vacuum-assisted resin transfer molding (VARTM), and other infusion or compression molding techniques. 2. Advanced Carbon-Carbon Composites for Extreme
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in the field of heat pumps and refrigeration systems Knowledge of English. Specific Requirements Modelling and Simulation of CO2 Refrigeration Systems based on liquid piston compression, validated with
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, Merced is looking for an ambitious Postdoctoral Scholar to carry out a project that leverages compressed sensing to accelerate proteomics research. The position is NSF-funded, and the scholar will work
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Laboratory (ORNL) is seeking several qualified applicants for postdoctoral positions related to Computational Methods for Data Reduction. Topics include data compression and reconstruction, data movement
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, biologists, and data scientists. The emphasis will be on enabling high-fidelity image reconstructions from sparse and noisy data, leveraging state-of-the-art methods in compressed sensing, optimization, and
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experimental team working with an ultracold system. Candidate will work on cooperative effect in light-matter coupling. To reach this regime, the atomic medium will be compressed in an optical dipole trap
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to Computational Methods for Data Reduction. Topics include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a
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scientists. The emphasis will be on enabling high-fidelity image reconstructions from sparse and noisy data, leveraging state-of-the-art methods in compressed sensing, optimization, and machine learning