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or more senior research positions to analyze and model the delivery of clean energy and industrial decarbonization infrastructure associated with net-zero transitions. The role will report to the Andlinger
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solutions and have the opporutnity to contribute to world-class research, we encourage you to apply! Opporuntities to Contribute Develops dynamic river-lake network models to track the geochemical and
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 4 hours ago
into redox-active disulfide-based metal–organic frameworks (MOFs) and coordination networks, with a particular focus on temperature- and redox-responsive polymorphism. This work involves advanced solvothermal
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and its response to H2 emissions. The postdoc will generate critically needed H2 soil measurements at two National Ecological Observatory Network field sites and lead data interpretation including
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Environmental Health, Epidemiology, Biostatistics, or closely related fields Demonstrated ability to manage multiple projects simultaneously Strong scientific writing and oral communication skills Strong
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for those who can also program in Python and know standard network analysis techniques and metrics such as community detection and centralities. Prefernce for those with experience in geo-spatial analysis
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extensive opportunities for professional growth and networking within the scientific community. Job Duties Conducts independent research projects. Designs and performs experiments, analyzes data, and
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oscillator dynamics and synchronization and complex networks. Skills in computer programming (preferably Matlab), written and oral communication. Minimum Qualifications Ph.D. in aerospace, mechanical
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networks; etc.); and interpreting, communicating to broad audiences, and publishing results. Ph.D. in Political Ecology, Geography, Sociology, Natural Resource Management, Quantitative Ecology, Economics
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multiple brain regions interact with each other, or networks. Furthermore, we are focused on identifying factors affecting the plasticity of these representational networks, and the degree to which they can