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Field
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Qualifications PhD degree in computer science, data science, or related fields. Effective written and verbal communication skills Robust machine learning and natural language processing skills Proficient computer
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of tools and public goods. Requirements Applicants must have (or expect to have at time of appointment) a PhD in the social sciences, statistics, computer science, or related fields, and their interests must
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and collaborate effectively. Experience in healthcare and medical device environments is highly valued. ● PhD in computer science, electrical engineering, biomedical engineering, cybersecurity
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artificial intelligence with a preferred focus on computer vision and medical image analysis. Preferred Qualifications: PhD in Medical Physics, Bioengineering, Biomedical Engineering, Physics, Computer
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artificial intelligence with a preferred focus on computer vision and medical image analysis. Preferred Qualifications: PhD in Medical Physics, Bioengineering, Biomedical Engineering, Physics, Computer
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Experience with designing, packaging and testing neural implants Expertise in designing instrumentation for electrical stimulation of cells such as nerve cells Qualifications: PhD in Electrical and Computer
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: Education: PhD (or equivalent) Organic or Medicinal Chemistry This position requires a formal degree in the cited discipline area(s) to ensure that candidates have the foundational knowledge and skill set
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protein engineering, computational modeling, cell biology, and fluorescence microscopy is a plus but not required. Internal candidate preferred Other Qualifications To the extent this position requires
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– in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in materials science, applied mathematics, computer science, or an AI related field completed within
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Campus Address 1230 E. Speedway Blvd., Tucson, AZ 85721 USA Position Highlights The Electrical and Computer Engineering (ECE) Department at the University of Arizona is seeking a qualified and highly