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and knowledge transfer. Discipline, including, but not limited to: Electronic and Information Engineering, Computer and Data Engineering, Electronic and Electrical Engineering, Information Engineering
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Experience Requirements Required: PhD or equivalent in a related field; an established record or strong evidence of the ability to achieve an extramurally-funded and productive scholarship program in a
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to machine learning. This PhD provides a unique opportunity to shape emerging concepts in Artificial Intelligence Informed Mechanics (AIIM), combining fundamental research with methodological innovation. You
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together to define the vision and guiding principles for the pre-clerkship phase. In collaboration with the Academic Operations unit, the Assistant Deans will provide oversight of the operations of the pre
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analysis / computer vision, ideally on microscopy or time-lapse data Experience in at least one of: tracking / time-series analysis, probabilistic modelling / uncertainty, real-time or streaming pipelines
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vision of leadership in brain tumor care and research. • Model exemplary professional conduct and support ongoing performance assessment and organizational effectiveness. Qualifications Candidates should
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three decades, the Department of Physics has been offering graduate programs with MS and PhD degrees in Physics with emphasis on Nuclear and Optical Physics. A new emphasis is being added on Plasma
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architecture. The research focus of this PhD position is the design of performant and energy-efficient Edge Artificial Intelligence (AI) accelerators. Such accelerators may be either tightly integrated with
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stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. The Clurman lab (https://research.fredhutch.org/clurman/en.html works at the intersection of two
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages