637 computer-"https:"-"https:"-"https:"-"https:"-"Dr"-"L2CM" Postdoctoral positions in United States
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for its open research pool. Positions are limited duration appointments potentially renewable for up to a total of three years. Potential areas of research include: program development; statistical analyses
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. The successful candidate will work in the Data Science and Learning division of the Computing, Environment, and Life Sciences directorate of Argonne National Laboratories. Primary responsibilities will be
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methodologies and tools for economic and ecological analyses of hydropower systems. The position will involve the development and use of computer models, simulations, algorithms, databases, economic models, and
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environment with standard laboratory conditions. 2. Must be able to work at a computer for extended periods for data analysis, and manuscript preparation. 3. May require routine work with biological samples
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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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with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and
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. MATLAB programming ability. Strong skillset/background in biochemical and biophysical methods and approaches, standard molecular biology and protein chemistry techniques, CRISPR/Cas, and/or computational
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Posting Details Position Information Posting Number PG191382PD Position Number 00108713 Position Type Post Doc FLSA Exempt Departmental Information Department ID 141901 - Computer
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environmental education. The IROCE has a number of program areas, including the Ecosystem Workforce Program, Disaster-Resilient Universities network, Location Innovation Lab and several individual research
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Postdoctoral Fellow in the area of quantum mathematics, especially quantum topology, including skein theory, topological quantum field theory, and applications to quantum computing. Position Number 4C2387