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Field
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detectors (Partial) automation of detector characterization for more efficient analysis Algorithm development: Development of a correction method based on information field theory for atmospheric image
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computer vision algorithms to detect clinical interventions performed by nurses and situations of agitation and risk of falling. Volume of data available for the project: Video capture in a hospital
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blind and low-vision individuals in navigating both outdoor and indoor urban spaces. The project's initial phase will employ machine learning models, computer vision algorithms, and real-time sensory
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with Neutrons. Jason Fry’s group has worked on significant contributions to Nab and BL3 and supports their experimental efforts through work from the PI and undergraduate students through multiple NSF
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multiple projects of varying complexities. Based on expert technical knowledge, skills and experience, develops broad-based solutions involving multifaceted technologies, and business processes. Leads
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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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world networks have a multidimensional nature such as networks that contain multiple connections. For instance, transport networks in a country when considering different means of transportation
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Details Position Description The University of Washington, Department of Radiology, has openings for multiple postdoctoral scholar positions. The research projects will focus on advancing rapid
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multi-parameter ion-beam tuning procedures (collaboration with Univ. of Vienna and HZDR) and developments of machine learning (ML)-algorithms for optimization of beam parameters and control of relevant
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organisational and time-management skills, with the ability to manage multiple tasks. The ability to work both independently and as part of a collaborative team, often across disciplines. A demonstrable interest