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tasks, in the Department of Civil, Environmental, and Geo- Engineering. The successful candidate will interact with, lead, and assist graduate and undergraduate students in the research group. 90
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biologically/pharmaceutically important proteins for cancer therapy. In addition, the candidate will receive training in computational drug design, biochemistry and cell biology techniques for testing compound
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NSF-Simons Foundation-funded National AI Institute for the Sky | Chicago, Illinois | United States | 19 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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. The goal of the Training Program at the CNRC is to prepare Ph.D. and M.D. postdocs for biomedical research careers in nutrition that focus on pregnancy, lactation, infancy, childhood, and adolescence
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systems/fabrication Biomedical computation/modeling Biomolecular and cellular engineering Biomaterials Tissue/regenerative engineering Neuroengineering Systems biology Cardiovascular engineering These
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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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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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, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In