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Management (UEM) provides reliable and cost-effective electricity, chilled water, steam, deionized water, compressed air, emergency power, and elevator services for The University of Texas at Austin. We have
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employed on the FIND program covering topics from foundation model pre-training and multimodal adaptation to architectures and compression for edge deployment while targeting real-world validation in domains
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understanding of file types, compression, and licensing Proficiency in operating computers and related software, printers, and other standard office equipment Knowledge of, and ability to apply applicable
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adaptive Kalman filters and transformer architectures. Integration of object detection and landmark recognition with 3D city models may enable semantic awareness for navigation. Efficient map compression and
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this position and to apply, visit http://jobs.sgul.ac.uk . We welcome and encourage applications from underrepresented groups, especially from people with disabilities and/or people from ethnic minority
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deep breathing. Performs routine nasal and/or oral suctioning Other Interventions Measures and obtains TED hose; applies Sequential Compression Devices. Performs post-mortem care and transports deceased
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further information about this position and to apply, visit http://jobs.sgul.ac.uk ; or click the 'Apply' button, above. We welcome and encourage applications from underrepresented groups, especially from
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research in flow chemistry, inline analytics, and AI-enabled process optimisation. Our domain-specific AI integrates automated experimental systems with intelligent optimisation, compressing development
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parameters (i.e. Compressed Air, Lighting, Building Envelope, HVAC, etc.) relative to applicable significant energy consuming activities within the university. Perform requirements gathering with customers
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, atmospheric science, materials characterization, data science, plasma science, and dynamic compression science. Located near the Nevada National Security Site and Lawrence Livermore National Laboratory, our