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critical role in advancing computational materials science by developing and applying first-principles and machine learning methods, with a focus on interatomic potential development and large-scale
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Qualifications - PhD in neuroscience, computer science, or related field. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining
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or similar programming languages). A basic knowledges and deep interest in neuroscience are required. Preference will be given to candidates with experience in in vivo neurophysiology and/or computational data
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software. • Computer science, computer engineering, or other technical coursework that may assist with any information technology tasks that arise. • Knowledge of sea level rise and flooding issues related
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to identify FDA approved drugs that can be repurposed for viruses with pandemic potential. This includes working closely with computer scientists to utilize published “omics” datasets and machine learning
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marginalized. The research project is funded by the NASA Land-cover and Land-use Change program. We are studying sea level rise (SLR) in mid-Atlantic coastal landscapes, especially agricultural and forestry
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engineering, provably secure computing, and security for embedded/industrial/control systems and networks are sought. Successful applicants will have a mixture of theoretical foundations in areas such as the