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for employment positions of interest. Open Date 01/08/2026 Special Instructions to Applicants All applications must be submitted via the UTRGV application portal at https://careers.utrgv.edu. If you are applying
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detection with minimal latency. Combined with efficient signal processing, this approach enhances detection accuracy while optimizing resource use, supporting cybersecurity and sustainability in IIoT networks
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geometries. Current simulation-based approaches require complex 3D meshes and are often too slow for practical medical use. This project aims to create accurate and rapid surrogate models by combining physics
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. With dozens of top-tier residency programs, SMHS is a competitive and esteemed destination for medical school graduates across the country. Find out more here: http://smhs.gwu.edu/ The laboratory of Dr
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quantitative field, ideally with a strong focus on computational practice Strong mathematical and statistical background, with pronounced analytical and problem-solving skills Proven programming expertise in
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from Wastewater“ Would you like to learn the basics of efficient recycling methods as part of a PhD study, with a focus on the sustainable use of natural resources? If so, the PhD Graduate School WERA
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, with the goal of improving scientific understanding of flow patterns shape ecological function in stream riparian ecosystems. https://www.lifesci.tohoku.ac.jp/research/fields/laboratory.html?id=454
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 23 hours ago
of renewal Employment Type Part Time Full-time Equivalency (FTE) 0.2 Salary $60,149 - $76,180 per annum, prorated to $12,030 - $15,236 for 0.2 FTE About the Organization The Atmospheric Processes and
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Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use machine learning (ML) along with data from previously solved problem
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this limitation in the use of satellite observations by make a direct use of radiance observations retrieved by satellites using machine learning without the need of radiative transfer calculations. The new model