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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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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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. 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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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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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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electronic equipment including sensors, terminal equipment controllers, control panels, input/output panels, ultrasonic flow meters, steam meters, and relay panels by interpreting control diagrams
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orient the patient to the sleep center. Prepare and calibrate equipment required for testing to determine proper functioning. Perform routine PAP mask fitting. Apply electrodes and sensors according
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in optimization algorithms would be an asset · Have research experience · Have excellent informal and formal written and oral communication skills · Be capable of balancing
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sensors according to accepted published standards. Assist with following "lights out" procedures to establish and document baseline values (such as body position, oxyhemoglobin saturation, respiratory and
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Preprocessing · Feature Engineering · Algorithm Optimization · Model Validation and Testing · Real-Time Deployment Readiness · Collaborate with Clinical and Epidemiological Teams