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Field
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levels at harvest, we aim to develop predictive models, powered by deep neural networks, that can detect early signs of fungal infection and evaluate mitigation strategies such as soil amendments
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heart regeneration. Your profile PhD and a strong publication record in vascular biology & bioengineering, computational biology, or cardiac/developmental biology and disease modeling. Extensive molecular
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device modeling such as memristors and ferroelectric FETs such as with Verilog-A. Minimum Qualifications: Requires a minimum of a Ph.D. or equivalent terminal degree in electrical engineering, computer
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with process-based models, including APEX, SWAT, EPIC, DayCent, or DNDC. Proficiency in computer programming, including scripting in Python, Fortran, or other computing tools for data processing and
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-year postdoctoral research position at the Rollins School of Public Health (RSPH), Emory University in Atlanta, GA. This individual will join a collaborative NIH-funded research program focused
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-relevant research related to aspects of the Medicare program, including payment policy, risk adjustment, and competition. Experience working with Medicare claims data, a deep understanding of econometrics
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, numerical weather prediction, regional climate modeling, computational fluid dynamics, computer programming, high performance computing, data analysis, and technical writing; ability to work and communicate
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Hands-on experience with two-dimensional materials modeling Proficiency in database development and management for computational materials data Strong programming skills and experience with software
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. At the heart of our program is the GLICO (Glioma-in-a-Cerebral-Organoid)platform, a system we pioneered where patient-derived glioma stem cells are grown within human cerebral organoids. This high-fidelity model
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understanding and practical experience in machine learning, foundation models, and agentic AI technique. Demonstrated publication record in machine learning field. Excellent programming and computer