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for research including biosafety, responsible conduct of research and human subjects training. Minimum Education/Experience English Proficiency Excellent written and oral communication skills PhD degree in
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Job Description Apply now Job Title: Postdoctoral Associate- Cardiovascular Division: Surgery Work Arrangement: Onsite only Location: Houston, TX Salary Range: Hiring up to $61,008 FLSA Status
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technologies, in coordination with academic and industrial collaborators. Qualifications Applicants must hold a PhD degree in electrical/electronics engineering, telecommunications or related field. Other
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language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative ways to understanding, processing, and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
Experience Requirements Must have completed PhD in Chemistry or related field. Required Qualifications, Competencies, and Experience Must have completed PhD in Chemistry or related field. Preferred
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initiative aimed at developing advanced functional devices with real-world impact in electronics, sensing, and energy systems. Essential Functions Synthesize and process nanomaterials using wet-chemical and/or
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programming; experience in Python for machine learning and/or digital image processing is preferred. Strong communication skills, both in formal written reports/manuscripts and oral presentations. Language
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PhD or Doctorate in PhD or Doctorate in public health, psychology, social science. Minimum of 1 year of experience. Experience conducting quantitative, qualitative, and mixed-methods data analysis
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Post-Doctoral Position in Deep Learning for MRI Reconstruction at Yale University Title: Postdoctoral Associate, Yale School of Medicine Department/Division: Radiology and Biomedical Imaging
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management and coding, machine learning AI, and familiarity with LSST data management image reduction and analysis tools. Familiarity with processing data at the DOE US Data Facility at SLAC National