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comparison of predictive algorithms—such as Random Forest and LSTM neural networks—for use in genetic material recommendation systems. Working as part of Camcore’s data science team, the selected candidate
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assistance. Support experiment success, collect water quality samples and sensor data, troubleshoot monitoring equipment, and transport water samples to water quality laboratory. Work Schedule: Schedule will
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, and office tasks. In addition, the selected candidate will support graduate researchers in applying computer vision algorithms in precision agriculture, with tasks including data annotation and data
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software solutions to integrate hardware components for researchers at the Plant Sciences Initiative (PSI). The successful candidate will design custom software to incorporate sensors into IoT systems and
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; maintenance of field equipment; calibration of data sonde sensors; maintenance of detailed logs and record keeping completed on each sampling date; analyses of water samples collected, including all aspects
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; maintenance of field equipment; calibration of data sonde sensors; maintenance of detailed logs and record keeping completed on each sampling date; analyses of water samples collected, including all aspects
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clean chiller tubes. There will be training on this. This requires repetitive motion with the upper body. The employees will be trained in sending a sensor down a tube for eddy current testing
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by the All of Us Research Program with the study goal of developing algorithms that predict individual responses to food and dietary patterns. The department is one of six clinical centers across
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Health, powered by the All of Us Research Program with the study goal of developing algorithms that predict individual responses to food and dietary patterns. The department is one of six clinical centers
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software solutions to integrate hardware components for researchers at the Plant Sciences Initiative (PSI). The successful candidate will design custom software to incorporate sensors into IoT systems and