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Your Job: We are looking for a PhD student to contribute to the development of fast, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular
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the sponsoring agency. Basic Qualifications: PhD degree and 8 years relevant postgraduate experience or a MS degree with 12 years postgraduate experience in electrical engineering or closely related engineering or
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and undergraduate students. PhD or terminal degree in Computer Engineering, Computer Science, or a related field. A track record of publishing and seeking funding. Collaborative research experience in
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expertise, collaborative skills, and a commitment to delivering high-quality outcomes. A PhD (or near completion) in Computational Biology, Chemistry, Biochemistry, Pharmacology, or a related field
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Position Overview School / Campus / College: College of Engineering Organization: Electrical and Computer Engineering Title: Research Assistant Professor (Non-Tenure) - Li Lab Position Details
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management across the UK. Current rainfall datasets are not fit for purpose: radar estimates can be inaccurate, and rain gauge networks, while reliable, are too sparse to capture highly localised storms
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Current University of Arkansas System employees, including student employees and graduate assistants, need to log in to Workday via MyApps.Microsoft.com, then access Find Jobs from the Workday
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leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at https://www.ln.edu.hk/ . Applications are now invited for
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leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at https://www.ln.edu.hk/ . Applications are now invited for
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Current University of Arkansas System employees, including student employees and graduate assistants, need to log in to Workday via MyApps.Microsoft.com , then access Find Jobs from the Workday