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algorithms, and some knowledge of data science and machine learning (through coursework, self-learning, or personal projects). The selected student will work with Ph.D. and master's students to help develop
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focusing on elucidating neural (e.g., EEG/ERPs, MRI), behavioral, and real-time markers (e.g., passive sensor data, EMA) of depression and suicidal behaviors in adolescents. The positions are full-time
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the integration of wearable and mobile technologies into clinical research workflows, human-centered design of healthcare software, and the collection, management, and analysis of health data from sensor-based and
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monitoring, sensing systems, instrumentation, or transportation infrastructure analytics. Experience working with data-driven technologies such as sensor networks, machine learning, or AI-enabled
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of naturalistic behavior. The successful candidate will contribute to projects involving participants with implanted intracranial electrodes and wearable non-invasive sensors, with a focus on naturalistic behavior
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contribute to collaborative projects. Areas of expertise should include contrast-free super-resolution microvessel imaging algorithm, ultrafast ultrasound imaging system design, and hardware acceleration
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Ph.D. with industry experience in infrared sensors.; Required License/Registration/Certifications Valid Texas Driver's License Job Duties Design the experimental setup for thermal conductivity
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Ph.D. with industry experience in infrared sensors.; Required License/Registration/Certifications Valid Texas Driver's License Job Duties Design the experimental setup for thermal conductivity
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funded research teams • Familiarity with physiological, behavioral, or sensor-based data collection methods Instructions and Required Materials for Application To apply for this position please upload CV
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: Develops advanced Agro-geoinformatic algorithms for monitoring and predicting the conditions of crop, pasture, and their environment with advanced remote sensing and geospatial technologies; Develops and