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Field
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requirement Experience with telecentric particle imagers, image analysis, and machine learning for particle recognition is an advantage Experience of working with wave flumes to study entrainment is an
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Fracture Network (DFN) and Embedded Discrete Fracture Modeling (EDFM) Tracer design and interpretation Machine learning or optimization for reservoir management Experience working with field-scale geothermal
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connections to their communities and you may be eligible for an exception to this work arrangement. Alternative work arrangements may also be considered to accommodate candidates as required. To learn more
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. Specific topics of focus include, but are not limited to, linear response, statistical limit laws, random and nonautonomous dynamical systems, spectral analysis, machine learning, data-driven dynamics
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that directly relate to this position. Electrical and Computer Engineering is looking for a Postdoctoral Fellow for a full year (12 months). The position is focused on wireless sensors and sensing systems
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responds when these arise. Research Project: A postdoctoral fellowship is available with the Zoonosis and Discovery Team, Coronavirus and Respiratory Viruses Laboratory Branch (CRVLB), Coronavirus and Other
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. transformer models). One focus of this work will be on B-cell receptor evolution. Experience in applications of modern machine learning methods as well as in biological data analysis are needed for the position
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 22 hours ago
background with evidence of both skills related to convex optimization, machine learning, stochastic gradient descent, and deep learning Demonstrated experience in developing, analyzing, and implementing
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analysis Machine learning and retrieval-augmented AI models for biomarker prioritization and decision support ·Work closely with cross-functional team members to develop hypotheses, interpret data, and
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the Electrochemical Engineering Science Group and work within Dr Daniel Niblett's team on the five-year UKRI EPSRC ION-H2 Fellowship. The programme combines computational modelling, machine learning