730 programming-"https:"-"https:"-"https:"-"KU-LEUVEN" Postdoctoral positions in United States
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in top-tier machine learning/AI conferences and/or leading scientific journals. Excellent programming skills and hands-on experience with leading machine learning frameworks (e.g., TensorFlow, PyTorch
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, Medical Writing, and Business Development. There will be an online information session July 9th from 11am – 12 pm. Click here to register Program Description 1-year experiential learning to gain real-world
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if progress is satisfactory and funds are available. Appointments cannot exceed five years. ADDITIONAL DETAILS: Plan and coordinate the advanced computational and statistical analysis of research projects
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subject to review. GENERAL DUTIES: Research in nuclear physics. The successful candidate will contribute to several aspects of the group's research program including detector operations, data analysis
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designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program. HSPD-12 PIV badge: This position requires the ability to obtain and
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benefits. Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with
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Education & Experience: Ph.D. degree, with at least 3 years of experience during degree program with modeling, data analysis, instrumentation and technical writing. Required Knowledge, Skills & Abilities
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, engineering, or related field Comprehensive experience programming in one or more programming languages such as Python, C/C++ Experience with at least of one of the AI frameworks is required, such as PyTorch
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(Heterogeneous) in the PI, Dr. Linxiao Chen’s group at UNT. The postdoctoral scientist will plan, execute, and analyze experiments involving the synthesis, spectroscopic characterization of heterogeneous catalysts
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and Wellness: Free exercise programs and release time Professional Development: All employees have access to free LinkedIn Learning training, webinars, and limited financial support to attend