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(e.g., finite element or wave propagation simulations) for defect detection and materials analysis Integrate AI, machine learning, and robotics into NDE and manufacturing processes for automation and
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 5 hours ago
and graduate students Minimum Acceptable Education & Experience: PhD degree in Civil Engineering, Geography, or related fields Required Knowledge, Skills & Abilities: Proficient in geospatial data
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: Artificial Intelligence / Machine Learning Knowledge Representation and NLP methods Clinical Informatics Bioinformatics Biomedical Ontology Public Health Informatics Nursing Informatics Imaging Informatics
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STEAM education and dynamic campus experience. As New York State's premier public polytechnic, SUNY Poly fosters innovation and interdisciplinary learning across its four colleges--Arts & Sciences
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. Qualifications: Minimum Qualifications: PhD in Biomedical Engineering or related field from an accredited university, conferred by the start of employment Working knowledge of research being undertaken Laboratory
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machine learning are desirable, applicants from other quantitative fields (e.g. math, physics, statistics, computer science) who are eager to learn about neuroscience are highly encouraged to apply as well
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Computer Engineering or a closely related field, completed by the start date of the appointment. Research experience in at least one of the following areas: ● Chip design, tape-out, and testing
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of inclusivity and teamwork. - Engage in ongoing academic and intellectual life within CALS and Cornell University. Requirements • PhD in ecology, quantitative ecology, applied statistics, or a
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. Required Qualifications • Ph.D. in Aerospace or Mechanical Engineering. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining
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docking and machine learning. Among the key duties of the position are the following: Performs various research and technical operations relative to ongoing investigatory activities of a laboratory; may