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Field
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for complex scientific problems Designing algorithms to improve the performance of scientific applications Researching digital and post-digital computer architectures for science Developing and advancing
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-efficient computing Developing mathematical modeling for complex scientific problems Designing algorithms to improve the performance of scientific applications Researching digital and post-digital computer
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are searching for a motivated PhD candidate to design practical over-the-air computing algorithms and protocols for future edge AI applications. About the employer The research of this PhD position will be
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talented and dedicated employees. Applies advanced computational, computer science, data science, and software research and development principles to perform complex distributed computing architectural
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, ideally on the distribution grid and distributed energy resources (DERs). This is a 3-month internship opportunity with the potential to extend to 12- months. To learn more about the work this group does
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, computers and instrumentation hardware. Ability to install and oversee installation software algorithms for distributed controllers and maintain associated databases. Ability to coordinate maintenance and
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energy use more efficient. We develop new optimization methods, machine learning algorithms, and prototypical energy management systems (EMS) controlling complex energy systems like buildings, electricity
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oversee installation of building automation systems, communication networks, computers and instrumentation hardware. Ability to install and oversee installation software algorithms for distributed
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according to scheduling algorithms, patients' medical history and established clinical and facility standards. Coordinate both procedures and ancillary visits within a specific period established for each
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Health. Complex Procedure Scheduling Duties Determine if ancillary appointments (pre-procedure clinic evaluations, pre-anesthesia testing appointments, etc.) are needed according to scheduling algorithms