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authorized representatives) in accordance with institutional policies and study protocols. Coordinate with clinical teams in high-acuity environments to ensure protocol compliance. Organize study participant
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enrollment standard High School student: Regularly enrolled in a high school or participating in a home-schooling program Undergraduate and post-baccalaureate student: 6 credit hours per term Undergraduate
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treatment of sick children in Indiana and beyond. Department-Specific Responsibilities Performs experimental assays relevant to the Aims of Dr DeBosch's R01s and relevant to Dr. Russi's CCFA Grant Aims
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
working in high performance computing environments. Understanding of satellite radar interferometry. Create a Job Match for Similar Jobs About The University of North Carolina at Chapel Hill Carolina rates
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skills: · Experience with Python · Experience with high performance computing clusters · Development of reproducible analysis pipelines · Strong time management and organizational skills · Ability to work
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://pritykinlab.princeton.edu ) develops computational methods for design and analysis of high-throughput functional genomic assays and perturbations, with a focus on multi-modal single-cell, spatial and genome editing
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supervision from the Laboratory Supervisor or Principal Investigator (P.I.). The position is responsible for performing high level laboratory procedures relating to the laboratory’s ongoing program and
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Description Here’s a Glimpse of the Job The Postdoctoral Research Associate performs research and development on laser spectroscopic ranging and imaging systems and writes scientific papers and proposals while
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. Prepares study documents, sets up study space, equipment, supplies, monitors study environment, performs data collection in supporting clinical research, such as obtaining consent form, reviewing inclusion
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials