433 computational-physics "https:" "https:" "https:" "https:" "LaTIM Brest" positions at New York University
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inspires its members to embrace change in a globally changing world. For more information about working at NYU please visit our website at: http://www.nyu.edu/about/careers-at-nyu.html.   NYU aims to be
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Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth
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of the Program. This role is responsible for but not limited to, providing academic, financial, career and personal counseling to HEOP and CSTEP Programs students enrolled at New York University; developing and
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at New York University’s Center for Urban Science + Progress (CUSP-UO ) studies the complex interactions between the physical, natural, and human components of the city as a coherent, definable system with
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-of-the-art facilities for imaging and fabrication. A highly collaborative environment where chemistry, biology, physics, and engineering are not siloed. Mentorship focused on academic publication, proposal
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and implements notification protocols. Oversees NYU's International Travel Program, to interface and monitor alerts from 3rd party providers, notify University and travelers of impending safety and
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transforming world. For more information about working at NYU please visit our website at: http://www.nyu.edu/about/careers-at-nyu.html. NYU aims to be among the greenest urban campuses in the country and carbon
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2040. Learn more at nyu.edu/nyugreen. NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without
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every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity
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in quantitative modeling, data science, mechanical and urban engineering, or AI/ML methods as exemplified by a strong publication record. Previous experience in Python-based scientific computing