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Field
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Computer Engineering, Applied Mathematics or a related field in hand by the start of the appointment. The new AI Innovation Institute at Stony Brook University invites applicants for Postdoctoral Scholars
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Towson University - Fisher College of Science and Mathematics | Suburb Maryland Fac, Maryland | United States | about 1 month ago
Towson University - Fisher College of Science and Mathematics, Department of Mathematics Position ID: 1043 -POSTDOC [#26369] Position Title: Position Type: Postdoctoral Position Location: Towson
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Computer Engineering, Applied Mathematics or a related field in hand by the start of the appointment. The new AI Innovation Institute at Stony Brook University invites applicants for Postdoctoral Scholars
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the research program. Qualifications and terms of appointment: Ph.D. in Mathematics, Computer Science, or a related field. Strong background in machine learning, particularly reinforcement learning. Demonstrated
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significant mathematical and computational background to learn and develop new AI methods. While demonstrated experience in computer vision and deep learning for pathology or other biomedical image analysis is
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effectively with a multidisciplinary team spanning engineering, biology, and computational sciences. Required Qualifications Minimum of a PhD or Doctorate in Chemical Engineering, Bioengineering, Biophysics
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. Supporting the largest radioisotope production and research portfolio within the Department of Energy (DOE) Office of Science for Isotope R&D and Production, as well as extensive isotope production programs
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14853, United States of America [map ] Subject Areas: Nutrition Bioinformatics / Clinical , Computer Science , Mathematics , statistics Epidemiology Public Health Medicine (more...) Data Science Salary
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ability to interface with students and faculty in psychology, cognitive science, computer science, applied mathematics and architecture/design. Preferred Qualifications Equipment Utilized Vive Focus 3 VR
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mathematics and engineering. The Interpretable Machine Learning Lab has dedicated access to high-performance CPU and GPU computing resources provided by Duke University’s Research Computing unit and state