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related field. The ideal candidates will have experience in one or more of the following topics: deep learning for image and point cloud data processing, deep learning for time series data prediction
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mentorship of Principal Investigator Dr. Zhaomeng Niu, the Postdoctoral Associate will be deeply involved in NIH-funded projects related to cancer prevention, digital mHealth and eHealth interventions, and
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techniques/procedures specific to cardiovascular artificial intelligence and digital health. Assists in maintaining laboratory records and files. Assists the Principal Investigator with the preparation
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Center and the Brain Modulation & Control Lab at BHI, we seek a Postdoctoral Associate to work with digital (smartphone-based) and brain imaging (EEG or fMRI) biomarkers for cognitive aging, Alzheimer’s
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. Zhaomeng Niu, the Postdoctoral Associate will be deeply involved in NIH-funded projects related to cancer prevention, digital mHealth and eHealth interventions, and addressing health disparities
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processing. Proficiency in programming languages such as Python, MATLAB, or Java/Kotlin (for Android). Passion for innovation in digital health, fitness, and rehabilitation. Preferred Qualifications Background
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point cloud data processing, deep learning for time series data prediction, digital twin, geospatial mapping with vehicle and UAV mounted remote sensing systems or robotic systems, crowd simulation
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available immediately. Postdoctoral associate to work on multiple research foci including but not limited to 1) Developing digital PCR assay to study turf pathogen epidemiology, 2) Investigating turfgrass
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Ph.D. graduate degree or in the process of completing training for a Ph.D. graduate degree, with a strong publication record and a desire to advance to the next stage of their training. Among the key
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of mouse behavioral paradigms is required. Extensive computer programming experience in python or Matlab and the ability to deal with large, complex datasets are required. Experience with preparation and