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Institute of Standards and Technology, housed at the University of Vermont, with which CHanGE is partnered. The Center’s aims are to develop standardized methods and measurements for climate impacts and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
modeling, immunology, bioengineering, or closely related disciplines. The primary focus is to advance in vivo engineering of immune cells for cancer, auto-immune and/or infectious disease applications, with
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technology, combining knockout and knock-in mouse models. Ideal candidates will have a MD and/or PhD in biochemistry, physiology, and nutrition. The position is part of a well-funded research program and will
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for autonomous control. Position Requirements Ph.D. completed in the past 5 years or soon-to-be completed in chemistry, chemical engineering, materials science, or a closely related field. The applicant should
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informatics, electrical engineering, or a related field Demonstrated expertise in machine learning, deep learning, and image-based modeling. A strong publication record in top-tier venues (e.g., MICCAI, CVPR
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Manufacturing (CAAAM) (caaam.unt.edu), a State of Texas funded multimillion dollar initiative with a multidisciplinary focus on further advancing the science and technology of additive manufacturing (AM). with
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Analytics (MSA) Group in the Manufacturing Science Division (MSD), Energy Science and Technology Directorate (ESTD), at Oak Ridge National Laboratory (ORNL). Major Duties/Responsibilities: Develop algorithms
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dwarfs and/or the high-precision RV survey of solar-type stars being conducted with the NEID instrument on the WIYN 3.5m telescope; (2) improving technology, algorithms, and data analysis to mitigate
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a Ph.D. degree in Electrical Engineering, biomedical engineering, Physics or related field with 1-3 years of experience in MR pulse sequence development, and / or experience with modern reconstruction
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activities. ________________________________________ Candidate Requirements ✅ PhD degree in Engineering, Computer Science, Systems & Control, Statistics, Computational Physics, Computational Chemistry