430 programming-"Multiple"-"U"-"Humboldt-Stiftung-Foundation"-"Prof"-"U.S" Postdoctoral positions
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Field
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open access of datasets. Key Responsibilities Develop and implement data management strategies to support research activities across multiple institutions. Collaborate with researchers to establish data
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that can process and learn from multiple data streams in real-time is key to unlocking the full potential of such instruments. The postdoctoral appointee will be responsible for developing such methods
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multiple groups within the X-ray Science Division, the Center for Nanoscale Materials and the Materials Science Division of Argonne. Position Requirements Ph.D. in material science and engineering, physics
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degree in relevant fields (bioinformatics, immunology, computational biology, mathematics, and/or statistics). Strong programming skills in R and/or Python Demonstrated strong ability in analyzing high
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and across multiple scientific areas, CALS can address challenges and opportunities of the greatest relevance, here in New York, across the nation, and around the world. Starting Date: As soon as
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models of adoptive cell therapy (tail-vein injection, intraperitoneal injection, phlebotomy, irradiation, splenocyte/T-cell isolation). Ability to work simultaneously on multiple projects and quickly adapt
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in software development skills in programming languages such as R and Python. Knowledge, Skills and Abilities Skill in managing one’s own time and the time of others. Ability to analyze, organize and
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state-of-the-art equipment and facilities including studios, labs, two fabrication studios, a design materials library, 3D body scanner and multiple gallery spaces. It is a department and college priority
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data, and implementing the data management plan of multiple research grants Assist the PI’s research team in procuring and utilizing cutting-edge research equipment. Participate in college and school
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future. CITIES leverages the expertise of faculty members from the four Divisions of NYUAD and world-renowned scientific collaborators from multiple institutions within and beyond the NYU Global Network