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research projects aimed at (1) understanding the molecular mechanisms by which trabecular meshwork protein modifications induce fibrosis by transforming epithelial cells to myofibroblast-like cells (2
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chain network analysis and geospatial modeling. The successful candidate will have strong data science skills, including experience working with large, complex data from varied sources, and machine
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transportation networks. In particular, the successful candidate will conduct cutting-edge research in: Adaptive incentive mechanism design for complex sociotechnical systems Strategic learning and equilibrium
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will contribute to the development of novel concepts and proposal writing, while efficiently addressing complex challenges. Responsibilities will include writing reports, authoring publications, drafting
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on applications to complex, dynamic systems. Design and simulate feedback control algorithms for thermo-mechanical systems and related applications. Collaborate with faculty and student teams to support control
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of more than 6 billion euros, the Helmholtz Association is Germany’s largest scientific organization. The name Helmholtz stands for concerted research, in which networks form the key principle behind inquiring
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 7 hours ago
to local communities and corporations – we turn complex, large-scale, and often messy datasets into actionable insights that shape policy, drive accountability, and create real-world impact. We operate with
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of brain network representations, with a specific focus on the development and emergence of psychopathology. The successful candidate will contribute to the development and application of computational
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optogenetic investigations of cognition-related hippocampal formation and related brain networks. ? Analysis of electrophysiologically-evoked responses to assess synaptic population changes
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Engineering, Agronomy, Soil Science, Ecosystem Science or closely related field at the time of appointment. Proven experience in independently executing complex and high-responsibility assignments in support of