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, Oklahoma State University, Virginia Tech, and private farms in Lexington, KY. Required Education and Experience: • PhD in kinesiology, animal science, or related field. Preferred Education and Experience
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components. Work closely with a beam diagnostics physicist and controls group engineer to install and optimize diagnostic systems. Develop and integrate mmWave diagnostics equipment for beam position
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optimization of optical imaging hardware, develop data acquisition software and algorithms for data processing, as well as perform phantom and human clinical studies. This candidate is expected to co-supervise
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Florida. The successful applicant will use and develop patient-derived xenograft models to determine clonal progression of the disease and optimize treatments. The person will use these models to develop
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opportunity for someone who thrives in an interesting and challenging work environment. Core responsibilities include: Research in the intersection of discrete optimization and machine learning, including
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optimization under uncertainty, constrained query evaluation, or the design of efficient, explainable, and scalable query engines. The successful applicant will help design and build novel systems and algorithms
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opportunity for someone who thrives in an interesting and challenging work environment. Core responsibilities include: Research in the intersection of discrete optimization and machine learning, including
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projects, developing new protocols, mentoring students, presenting research outcomes, and publishing. The ideal candidate will have a PhD in microbiology, biochemistry, molecular biology, or a related field
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Deploy, commission, and operate TES X-ray microcalorimeter spectrometers at APS beamlines, including cryostat integration, beamline interfaces, alignment, and stability optimization. Perform pathfinding
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, and network optimization for 6G networks and FutureG wireless networks. Successful candidates will have the chance to work with top-notch researchers from both academia and industry on future wireless