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(in vitro and/or in vivo). • Proficiency in relevant software for data analysis and structural visualization. • Experience with in-silico discovery of antimicrobial
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://www.ornl.gov/directorate/isotopes for more information about ISED. This position resides within the Target Design, Analysis, and Qualification (TDAQ) group in the Radioisotope Production Engineering and Analysis
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construction activities that are associated with the disciplined allocation of capital to large-scale infrastructure projects by corporations. The analysis is expected to identify key development
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analysis and Excel Experience with data analysis programming (visual studio/visual basic) Excellent written and oral communication skills Demonstrated ability to function well in a fast-paced research
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, or related fields. Required Qualifications: Proven ability to work independently and experience in atmospheric modeling and analysis of satellite data; Proven record of Competence in using popular deep
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We are seeking a Postdoctoral Researcher in Geospatial Urban Big Data to support the analysis of urban dynamics and decision-making in territorial planning. The candidate must be proficient in GIS
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team on the design and implementation of a statewide survey, collecting quantitative and qualitative data across the state, conducting quantitative and qualitative data analysis, contributing
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 17 hours ago
of innovative technology solutions. Assignments will require technical and economic research involving data analysis, regulatory analysis, and modeling. You will learn by assisting with producing this research
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of very large data sets, data analysis, and simulations of X-ray scattering and spectroscopy signatures of dynamic processes in battery materials. The theoretical/ simulation efforts are supported by
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and analysis of mathematical methods for novel imaging techniques and foundations of machine learning. Within the project COMFORT (funded by BMFTR) we aim to develop new algorithms for the training