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. The postdoctoral fellow will lead a project focused on developing optimized strategies for observing, processing, and archiving the datasets from current and future large astronomical facilities, with emphasis
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Internal Number: 118466-en_US The Department of Orthopaedic Surgery is seeking a Research Assistant who will be responsible for the oversight of assigned research studies in support of the PI, postdocs, and
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postdoctoral associate level researcher interested and experienced in applied data science to work jointly with chemists, mathematicians, and computer scientists at NIST to participate in the characterization
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organization through the process of recruiting and coordinating activities for studies. The range of duties includes but is not limited to patient recruitment/ interviews, data collection, data entry, merge and
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communication) is essential. (Note: This position does not require certification as an interpreter.) Knowledge of sign linguistics. Experience with annotating/glossing sign language data. Basic computer skills
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work that underpins the scientific research of the collaboration. Research Title: Process Modeling using Physically Informed Machine Learning The work will entail: § Designing and training physics
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other associates to develop optimized photonic test structures that will be incorporated in PIC process flows and enable extraction of key physical parameters associated with PIC performance, including
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a PI or a research team. Specific Duties & Responsibilities Run routine and ad hoc reports. Use standard tools and computer programs to review data. Assist with data cleaning measures to ensure
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consultation throughout the curriculum development process on an as-needed basis. Additional Adapt and deliver the capstone literature review presentation, Historical Trauma and Collective Healing in North
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substitute for required education, to the extent permitted by the JHU equivalency formula. Preferred Qualifications Clinical trial and/or research experience, including IRB application and maintenance process