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-time systems (#54), AI, machine learning & data mining (#65), software engineering (#71), mobile computing (#18), and computer security (#88). In the last few years, students and faculty in
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 11 hours ago
. Experience with LPBF and binder jet machines is crucial for this role. PhD in Mechanical Engineering, Materials Science, or a related field Previous experience in material/process development of metal/ceramics
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is looking for a highly motivated and independent individual to work as a Postdoctoral Associate. This position is for a post-PhD trainee preparing for a research scientist career path. The planned
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, machine learning & data mining (#65), software engineering (#71), mobile computing (#18), and computer security (#88). In the last few years, students and faculty in the department have received
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Salary: $62,500 annually Special Instructions: A cover letter and resume are strongly recommended. You may upload these in the CV/Resume section. Required Education and Experience Appropriate PhD in a
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Professor of Chemistry, affiliated with the NanoTech Institute. The successful applicant must have a recognized research record, a strong record of collaborative research, ability to acquire external grant
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We are seeking a highly motivated and skilled individual to join our neuroimaging laboratory, which specializes in multimodal image fusion, multiparametric modeling, and machine learning techniques
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-$75,564/year Type of Position Temporary Position Time Status Full-Time Required Education PhD or terminal degree in a related field. Required Related Experience Experience performing experiments, analyzing
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simulations), computational chemistry, machine learning, enhanced sampling methods, force field development, or related fields are encouraged to apply. Start date is flexible. the postdoc will collaborate with
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), machine learning and Artificial Intelligence to enhance our capabilities in making AI-ready scientific data. As a postdoctoral fellow at ORNL, you will collaborate with a dynamic team of scientists and