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microscopy and image analysis. The candidate should have experimental experience with surfactant systems, with some preference for experience with foams and/or imaging methods. The initial contract will be
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following areas: Microbiology ? microbial ecology, bacterial genetics, or host-microbe interactions. Microscopy ? advanced imaging techniques, image analysis, or spatial biology. Computer Science ? especially
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. Qualifications: Doctorate degree required Background in optical imaging, data and signal processing Expertise in machine learning Experience in human subject measurements Background in optical tomography as
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. Qualifications: Doctorate degree required Background in optical imaging, data and signal processing Expertise in machine learning Experience in human subject measurements Background in optical tomography as
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sample of scientists and software engineers. A quantitative thread will extract several hundred thousand projects with scientific software from a comprehensive data resource (World of Code), identify
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energy related applications, design and fabricate novel material architectures, integrate them into functional prototypes, and explore applications in thermal management, imaging, and sensing. Other duties
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the program, including the annual Open Science Symposium ; Serve as a consultant for our data and coding consultation service ; Assist in the outreach effort of the program and support of research tools such as
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related applications, design and fabricate novel material architectures, integrate them into functional prototypes, and explore applications in thermal management, imaging, and sensing. You will combine
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applications in thermal management, imaging, and sensing. You will combine nanoscale energy transport, nanofabrication, and nanophotonics expertise with collaborative skills to innovate at the intersection
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engineering, earth science, computer science, or related field required. A PhD specializing in glacier modeling, remote sensing, and/or statistics preferred. Python coding experience preferred. Strong