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Field
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. -Ensures program has sufficient and efficient computing capabilities (high performance research computing, workstations, software, network attached storage). -Oversees drone activities (including drone
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methods (e.g., variational autoencoders) applied to biomolecular dynamics data. ● Familiarity with elastic network modeling (ANM/GNM) or the ProDy software package. ● A track record of independent
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Peatland Responses Under Changing Environments) experiment and other DOE-supported observational networks. Major Duties/Responsibilities: Develop, implement, and test new and improved process representations
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Peatland Responses Under Changing Environments) experiment and other DOE-supported observational networks. Major Duties/Responsibilities: Develop, implement, and test new and improved process representations
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professional network, and gain experience in mentorship and academic service. Position Number: RC1470 Anticipated Salary: $63,480 - $90,000 (based on qualifications and experience) + Benefits. Key
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. This position is designed for scientists with strong computational and quantitative training who are interested in agent-based modeling, network science, infectious disease dynamics, uncertainty quantification
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sciences to enable quantum computers, devices, and networked systems. It develops community applications, data assets, and technologies and provides assurance to build knowledge and impact in novel, crosscut
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and GSEA) using clusterProfiler, WebGestalt, g:Profiler, Enrichr, or QIAGEN Ingenuity Pathway Analysis (IPA); protein–protein interaction and functional network analysis using the STRING database and
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interact closely with industry partners. These engagements will play a vital role in ensuring success of programs and the adoption by project sponsors, and in developing your network across academia and
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academic community. To collaborate with research colleagues and support staff internally as appropriate to the research and to actively develop appropriate external contacts and networks relevant