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USDA NIFA Agricultural Microbiome Program. The individual will need to have the ability to drive to field sites in Geneva in order to collect samples and bring them back to the lab in Ithaca. Anticipated
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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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. The candidate will also supervise undergraduate and graduate trainees as appropriate in the lab and field. This position will be funded by USDA NIFA Agricultural Microbiome Program. The individual will need
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organic matter. * Integrate sensor outputs into process control systems (stepper motor-driven coagulant dosing). Desired qualifications: * PhD in Environmental Engineering, Electrical/Computer Engineering
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Management. The intended start date of this position is January 15, 2025. The position will be based in Ithaca, NY. The MIXTAPE (Monitoring Impacts for Technology Adoption and Program Engagement in Bangladesh
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and Management. The intended start date of this position is January 15, 2025. The position will be based in Ithaca, NY. The MIXTAPE (Monitoring Impacts for Technology Adoption and Program Engagement in
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–driven coagulant dosing). Desired qualifications: ● PhD in Environmental Engineering, Electrical/Computer Engineering, Applied Physics, or a related field. ● Strong programming skills (Arduino
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for dissolved organic matter. ● Integrate sensor outputs into process control systems (stepper motor–driven coagulant dosing). Desired qualifications: ● PhD in Environmental Engineering, Electrical/Computer
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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
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] Subject Areas: Physics / Hard Condensed Matter Theory , Machine Learning , Material Science , Physics , Quantum Information Science , Soft Condensed Matter Theory , theoretical condensed matter physics