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                Cornell University, Systems Engineering Position ID: Cornell-Systems-POSTDOC [#27468] Position Title: Position Type: Postdoctoral Position Location: Ithaca, New York 14853, United States of America 
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                Postdoctoral Associate: Neurodegeneration – Hu Lab, Weill Institute (Research & Innovation) Postdoc Associate: Neurodegeneration – Hu Lab, Weill Institute Weill Institute The Fenghua Hu lab (https 
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                in career development activities within and outside the university. Salaries are set at the NIH rate. Anticipated Division of Time Research: 95% - the successful postdoc will apply various methods 
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                Postdoctoral Researcher - Automation for Small-Scale Water Treatment The VersaWater collaboration, led by Cornell University and supported by the National Science Foundation's Convergence Accelerator program in 
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                : Ithaca, New York 14853-3501, United States of America [map ] Subject Areas: Environmental Engineering Water Resources Computer Science / Engineering Environmental Processes Engineering Management Appl 
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                Accelerator program in Future Water Systems, is addressing the water and wastewater capacity needs of very small communities (<1000 persons) across the United States. VersaWater technologies are prefabricated 
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                -LHC detector upgrades. The successful candidate is expected to engage actively in CMS measurements as well as the smart pixels program (https://fastmachinelearning.org/smart-pixels/ ). A PhD in 
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                . I’m particularly interested in candidates who have experience with; • Molecular or synthetic biology • Microbiology, particularly of non-model organisms • Computer programming and experience with 
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                , particularly of non-model organisms Computer programming and experience with the solution of numerical problems, machine vision, and analysis of next-generation sequencing data High-throughput screening 
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                detector upgrades. The successful candidate is expected to engage actively in CMS measurements as well as the smart pixels program (https://fastmachinelearning.org/smart-pixels/ ). A PhD in experimental high