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Classification Title: RES AST SCTST Classification Minimum Requirements: PhD in Computer Science, Computer Engineering, Data Science, Artificial Intelligence, Machine Learning or a closely related
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Research Assistant in Materials Science and Additive Manufacturing Location Edinburg, Texas College College of Engineering and Computer Science Department College of Engineering and Computer
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institute here: https://engineering.purdue.edu/Innovation Education and Experience Ph.D. in a relevant field (e.g., Innovation / Technology Management, Business / Technology Strategy, Innovation Studies
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to device design, control, and evaluation The ideal candidate will lead their own project, and support the engineering efforts for several PhD student led projects. Qualifications MS in Mechanical Engineering
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Biology, Bioinformatics, Computer Science, Applied Mathematics, Statistics, Biophysics, Biomedical Engineering, or a related field. Strong programming skills in at least one of: Python, R, C/C++, or Perl
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software engineering, computer science, data science, bioengineering, bioinformatics, engineering, physics or related Experience in either machine learning or computational biology. Interest in both
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. Historic Preservation The School of Architecture & Environment's Historic Preservation program—the oldest such program on the West Coast—focuses on physical and social heritage. Students participate in
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data, and apply the computational methods to understand biomedical problems like tumor microenvironment, immunology, and aging. The individual will work with Dr. Yi Zhang (https://yi-zhang-compbio
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and future research proposals. Qualifications Ph.D. in experimental particle physics, nuclear physics, astrophysics, engineering, computer science, or a closely related field (by start date) Strong
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A1096 Working Title PhD - Research Assistant - Computer Science Location Edinburg, Texas College College of Engineering and Computer Science Department College of Engineering and Computer