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NSF-Simons Foundation-funded National AI Institute for the Sky | Chicago, Illinois | United States | 18 days ago
, United States of America [map ] Subject Areas: Computer Science and Electrical and Computer Engineering Artificial Intelligence, Machine Learning and Autonomy Data Science Artificial Intelligence Astronomy / Astronomy and
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proposals. -Other duties as required. Required Education: -Ph.D. in Soil and Crop Sciences, Statistics, Data Science, Computer Science, Agricultural Engineering, or a closely related field. Required Knowledge
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research laboratory, excellent communication skills, excellent computer literacy. This research over a large span of life science topics and technical approaches, including genetics, biochemistry, cell
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specification that accompanied a major life history transition. We are looking for someone with experience in evolutionary developmental biology and strong computational skills, ideally with experience in
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, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In
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program; produce work for publication, present work at scientific conferences, and mentor graduate and undergraduate students. Job Requirements REQUIRED: Ph.D. in Physics, Nuclear Engineering, Plasma
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: 279395625 Position: Postdoctoral Research Associate Description: Ecology and Evolutionary BiologyPostdoctoral Research AssociateThe Department of Ecology and Evolutionary Biology has postdoctoral associates
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-temperature aqueous chemistry that occurred within asteroids in the early solar system. We seek a postdoctoral candidate to work within our planetary materials research group performing computational thermodynamics in
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Department Contact Email hli-byarlay@centralstate.edu Job Summary/Basic Function Agriculture Research Development Program (ARDP) in the College of Engineering, Science, Technology and Agriculture (CESTA
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Earth System Modeling”. Its overall objective is to develop an innovative framework for integrating citizen science data from the GLOBE Program with NASA Earth observations to model and predict mosquito