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research scientist. This is a unique opportunity to contribute to cutting-edge research in super-resolution cavitation mapping. You’ll work on computational projects that involve developing algorithms
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indwelling brain implants and wearable sensors to identify relationships between neural activity and behavior, with the goal of advancing treatments for brain disorders. The ideal candidate will bring strong
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equipment. Maintain and repair racks, drinking valves, water distribution systems, RO machines, environmental sensors, etc. Get equipment specific training as needed or when available. Train DLAR staff on how
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candidate will contribute to projects involving participants with implanted intracranial electrodes and wearable non-invasive sensors, with a focus on memory consolidation, spatial navigation, and neural
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. Application of sensors, e.g. pulse oximeter b. Collection of blood samples through dedicated sample lines, e.g. arterial blood gas c. Processing of samples using point-of-care devices, e.g. blood co
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guidelines, including intensive insulin therapy, insulin pump therapy, continuous glucose sensor monitoring and management of diabetes during pregnancy or diabetes resulting from treatment for another primary
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applications for a tenure-track faculty position in the area of deep neural networks for biology. Successful candidates will have a strong interest in developing, interpreting, and applying new algorithms and
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according to scheduling algorithms, patients' medical history and established clinical and facility standards. Coordinate both procedures and ancillary visits within a specific period established for each
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Health. Complex Procedure Scheduling Duties Determine if ancillary appointments (pre-procedure clinic evaluations, pre-anesthesia testing appointments, etc.) are needed according to scheduling algorithms
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electronic equipment including sensors, terminal equipment controllers, control panels, input/output panels, ultrasonic flow meters, steam meters, and relay panels by interpreting control diagrams