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for the continued development of the European XFEL. The facility's unique strengths, its high-energy linac and long, variable-gap undulator systems, provide a solid foundation for generating intense X-rays at 25 keV
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
/Description: The Miao Lab in the Computational Medicine Program and Department of Pharmacology at the University of North Carolina – Chapel Hill (https://www.med.unc.edu/pharm/directory/yinglong-miao/) is
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JOB SUMMARY The Physiological Acoustics Lab (http://escabilab.uconn.edu) at the University of Connecticut seeks applicants for a postdoctoral position in systems and computational neuroscience
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strongly encourage applications from candidates with diverse backgrounds, including those from groups that have been underrepresented in academia. To apply, visit https://wesleyan.wd5.myworkdayjobs.com
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opportunity to be an active part in the establishing of our department Comprehensive training programs and individual opportunities for personal and professional development Access to a strong research network
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related to the development of new NP, PK and NPK fertilizer formulas. The overall objective will be to develop highly efficient fertilizer formulas based on triple superphosphate as the mineral fraction; As
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. Generating fortran code for VUMAT for Abaqus Explicit. Developping python codes for microstructure generation Finite elements simulations on a cluster. Parameter study and comparison with experimental results
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, Epiroc, Boliden, Retenua, and Örebro University. The project sets out to develop multimodal, failure-resilient and trustworthy AI methods for autonomous navigation and environment awareness in low
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by combining psychological profiling, biological lab data, physiological time series, and sensor data. The postdoc will play a leading role in developing and implementing predictive algorithms designed
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for this position will work as a member of an interdisciplinary team on research involving the use of statistical and machine learning methods for the development of Immune Digital Twins. There will be potential