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, neurophysiology, or biomarker research related to movement disorders Prior involvement in Parkinson’s disease or dystonia research.- Proficiency in statistical software and data management platforms Wor k Mode
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Physical Artificial Intelligence at Purdue University. Research Fellows will work in broad areas of physical artificial intelligence, including foundations of AI, software systems and services, and
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scholars in all disciplines who are engaged in Canadian studies broadly defined. Scholars working on comparative US-Canada research may receive preference. To be eligible, applicants must have been awarded
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IX are defined and outlined in HOP-3031 . The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent
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basic MS Office, MS Access, graphics, and database software. Basic project management and statistical analysis knowledge. Preferred Qualifications Experience in Cardiology or Congenital Heart Disease
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statistical software. Learning Objectives: Learn about the implementation of the application of machine learning methodologies in plant phenotyping and genotyping for the sugarcane molecular biology lab. Learn
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disease or dystonia research.- Proficiency in statistical software and data management platforms Work Mode Designation This position has been designated as On-Campus. Please note that work mode designations
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networking technologies, software, algorithms and applications Evaluating or developing new and promising HPC systems and networking technologies Researching methods to control and manage next-generation
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vehicles navigating shared road networks, AI agents coordinating in complex games, and human-machine partnerships in online platforms, AI assistants, and physical systems. While multi-agent interactions have
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, and HPC systems and network technology. Research areas in Computing Sciences include but are not limited to: Developing scientific applications and software technologies for extreme-scale and energy