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record in either: next-generation sequencing (NGS) methods, biostatistics methodologies, genetic/molecular epidemiology, and/or bioinformatics or computational biology approaches/pipelines is required
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, numerical optimization, numerical partial differential equations, and parallel computing. The Researcher will join a project developing parallel high-order meshing algorithms from medical images and parallel
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Alexandria, Virginia. The focus of these positions will be on quantum computing, quantum algorithms, quantum learning, quantum error correction, and quantum fault-tolerance. The successful candidate will join
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| Electrical and Computer Engineering Performs research on characterizing the theoretical performance guarantee for various machine learning methods; and designing fast and efficient algorithms and analyzing
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Preferred Qualifications: Experience with one or more of the following: Building novel 3D and super-resolution ultrasound systems. Developing deep learning algorithms for 3D biological data. Designing and
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Computer Engineering or a closely related field, completed by the start date of the appointment. Research experience in at least one of the following areas: ● Chip design, tape-out, and testing
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architectures and training algorithms, uncertainty quantification, high-dimensional stochastic systems and high-dimensional partial differential equation systems. Multiple positions available. About the T-5 Group
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Computer Engineering or a closely related field, completed by the start date of the appointment. Research experience in at least one of the following areas: ● Chip design, tape-out, and testing
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Job Description The Highlights: The Medical Informatics Lab at DePaul University’s School of Computing is seeking a Postdoctoral Researcher to join the NSF-funded SCHOLAR project, part of the Smart
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mammals. We are looking for a postdoctoral researcher with physics or engineering expertise who will design and operate a 3D super-resolution ultrasound system, write control software, build computational