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Minimum Education and Experience: Qualified applicants should have completed, or in the process of completing, a board approved fellowship program and be eligible/certified in Maternal-Fetal Medicine (MFM
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pre-employment screenings including a background check, medical exam, and other screenings according to University hiring policies and processes. Maintains communication with applicants and hiring
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, plus five (5) years of experience in the operation, maintenance, and installation of HVAC/R equipment, in an industrial, education and/or healthcare setting. Certifications/Licenses Valid Driver’s
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technology. Projections, computer servers, video editing, 2d and 3d graphic software and printers, audio editing software. Creston, Smart Classroom technology. Physical Demands and Work Environment Fast-paced
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talking with staff and patients/consumers. Ability to stand for long periods of time. Walks across program space; communicates and documents using computer. Ability to travel throughout the state of NJ
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equipment. Computer including but not limited to microsoft office, Polar HR monitors, Kinexon, Hawkin force plate techknologies, Elite form. Physical Demands and Work Environment: Nights and weekends will be
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discipline expertise and computational areas, such as data science, artificial intelligence (AI), machine learning (ML), generative AI and other technology innovations. Key details of this position include
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the process of completing their Ph.D. or M.D. degree. Documentation of Ph.D. or M.D. degree completion must be provided prior to commencement of employment. City: New Brunswick State: NJ Physical Demands and
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protocols for processing and analyzing neuroimage data, including structural CT/MRI, resting state fMRT, DTI, and task-based fMRJ. The neuroimaging data will be interpreted along with the study subject's
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mechanisms of various brain disorders using murine models and iPSC-derived human neurons. The applicant should have strong background in neuroscience and/or biomedical engineering or computer science