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Field
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thinking skills, and ability to work as part of a multidisciplinary team. High computer proficiency, including basic MS Office, MS Access, graphics, and database software. Basic project management and
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the following areas: applied mathematics, statistics, computational biology, biophysics, computer science, engineering, mathematical physics, or related disciplines. Reporting to Research Scientists
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scientists who are working to use modern computational tools to advance our understanding of science both through the analysis of large, rich datasets and through the simulations of physical processes. Our
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To create and contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project. This Research Fellow position is
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Engineering (EEE) or a closely-related field (Physics, Computer Science, Material Science). Understanding of the physics of semiconductor devices and photonic subsystems is essential, as well as the ability
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a specified range of activities within an established research programme and/or specific research project. This Research Fellow position is established within the Department of Mechanical
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with a variety of personnel, data sources, and datasets, and prepare reports and communicate findings to key stakeholders. - They may present research and program findings to technical and non-technical
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, brain science, and neuroscience); data science and machine learning; modeling, analysis, simulation and prediction for biological, engineering, physical and quantum systems; probability theory and
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applications for a SUNY PRODiG-Plus Fellowship . The SUNY Promoting Recruitment Opportunity Diversity Inclusion and Growth Plus (PRODiG-Plus) Fellows Program designed to (1) increase the number and share
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Experienced in A.I., Deep Learning, and Simulations. Physical Requirements & Working Conditions Degree Requirement Listed degree qualification is required at time of application Posting Information FLSA Status