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, imaging, and clinical data) to identify trends, biomarkers, and insights related to aging and neurological health. ● Apply advanced statistical and machine learning techniques (e.g., predictive modeling
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Computer Sciences, Engineering, Neuroscience, Psychology or a closely
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of full-time related technical experience. Preferred Qualifications: Experience with conventional milling and lathe work, 3 Axis CNC machining, welding and/or prototype machining. Experience or training
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clinics for patient recruitment or onsite study procedures may be required occasionally. The RSS will set up and utilize computer and other specialized research equipment. The RSS will also maintain
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clinics for patient recruitment or onsite study procedures may be required occasionally. The RSS will set up and utilize computer and other specialized research equipment. The RSS will also maintain
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Associate will assist a Principal Investigator Leon Shterengas in the Department of Electrical and Computer Engineering . The incumbent will conduct research on semiconductor photonic device nanofabrication
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Associate will assist a Principal Investigator Leon Shterengas in the Department of Electrical and Computer Engineering . The incumbent will conduct research on semiconductor photonic device nanofabrication
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neurodegenerative diseases through data-driven analyses. The successful candidate will be responsible for analyzing complex biomedical data sets, applying machine learning techniques, and working closely with
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of aging and neurodegenerative diseases through data-driven analyses. The successful candidate will be responsible for analyzing complex biomedical data sets, applying machine learning techniques, and
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of aging and neurodegenerative diseases through data-driven analyses. The successful candidate will be responsible for analyzing complex biomedical data sets, applying machine learning techniques, and