57 parallel-and-distributed-computing-"U.S" Postdoctoral positions at Cornell University
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Humanities Scholars Program Postdoctoral Associates Call for Applications: Humanities Scholars Program Postdoctoral Associates Open to Cornell PhD Candidates and Recent Cornell PhDs Eligible
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Cornell University, Information Science Position ID: Cornell-IS-POSTDOC [#31443] Position Title: Position Type: Postdoctoral Position Location: Ithaca, New York 14850-4623, United States of America
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demand forecasting or behavior modeling Computing & Data Systems Cloud computing (AWS, Azure, GCP) Big data pipelines, distributed computing, and geospatial data processing Python, R, SQL/NoSQL
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, distributed computing, and geospatial data processing • Python, R, SQL/NoSQL, containerization (Docker), Kubernetes • API development and web-based analytics tools • Systems, Optimization, and AI • ML/AI
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Postdoctoral Associate - National Tutoring Observatory, Information Science The National Tutoring Observatory (NTO) will be centered at Cornell’s Ann S. Bowers College of Computing and Information
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Postdoctoral Associate in Health Systems Engineering Cornell University’s Center for Transportation, Environment, and Community Health (CTECH)—a U.S. Department of Transportation Tier 1 University
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Description: Apply Position Description Postdoctoral Associate in Health Systems Engineering Cornell University’s Center for Transportation, Environment, and Community Health (CTECH)—a U.S. Department of
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health, and human rights. The postdoctoral program is designed to provide support through collaborations with faculty and to assist new scholars in launching their own programs of research. Postdoctoral
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is filled. Relocation assistance is not provided for this position. Applicants must be legally authorized to work in U.S. Employment will end upon the expiration of work authorization in the U.S
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be legally authorized to work in U.S. Employment will end upon the expiration of work authorization in the U.S. Continued employment in this position is subject to eligibility to work in accordance