278 algorithm-development-"Multiple"-"Prof"-"Prof"-"SUNY"-"Simons-Foundation"-"St" positions in United States
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to programming, data structures, algorithms, application development, and software engineering. - Utilize inclusive pedagogies and course design to effectively promote student learning. - Engage in curriculum
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. It is anticipated that the successful candidate will begin the appointment on August 16, 2026. Job Duties: The successful candidate will develop a vigorous research program, mentor graduate students
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to implement the Data Strategy, develops and implements standard programming practices while also ensuring that they are employed across a study or program. What You’ll Do Leads, coordinates and manages timely
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requirements and expectations Provide technical leadership within the department for imaging and EO/IR programs and initiatives Independently manage multiple and/or large electro-optic projects Develop and
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of application development techniques (numerical methods, solution algorithms, programming models, and software) at scale (large processor/node counts). A record of productive and creative research as proven by
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multiple projects of varying complexities. Based on expert technical knowledge, skills and experience, develops broad-based solutions involving multifaceted technologies, and business processes. Leads
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. Researching and developing novel machine learning architectures for integration across multiple types of high-dimensional data. Researching and implementing novel algorithms for analysis of latent factors and
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, focusing on intelligent sensor tasking and the automated identification and characterization of space objects in Earth orbits and cislunar environment using optical data. Contribute to the development
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algorithms, and machine learning to solve complex aerospace engineering challenges. Developed and implemented AI-driven solutions for autonomous lunar and asteroid landings, as well as cislunar operations
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Engineers. Serve as liaison with Princeton Research Computing staff on GPU cluster related issues. Professional Development Learn the underlying science, mathematics, statistics, data analysis, and algorithms