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University of Massachusetts Chan Medical School | Worcester, Massachusetts | United States | about 2 months ago
quantitative skills and curiosity about complex systems. Position Overview You will design, implement, and apply new computational and statistical models to reverse-engineer causal networks from noisy, high
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medicine, complex disease mechanism, systems pharmacology, bioinformatics, and network science/statistical physics. This position at Northeastern University may include opportunities to collaborate with
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candidate will bring demonstrated expertise in Bayesian statistical methods and causal inference frameworks (e.g., Bayesian causal networks, cross-lagged panel models, propensity score matching, discordant
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Stanford University required minimum for all postdoctoral scholars appointed through the Office of Postdoctoral Affairs. The FY27 minimum is $79, 056. Postdoctoral Scholar - NMR Spectroscopy of Complex
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microchannels and complex porous media funded by the NSF ES2 Industry/University Cooperative Research Center, to applications in actual direct-to-chip cooling systems, from chip to rack, in collaboration with
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. Opportunities to Contribute Develops dynamic river‑lake network models to assess geochemical and ecological changes—including carbon cycling and elemental fluxes—resulting from enhanced rock weathering. Writes
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-based simulations in VR/AR to facilitate the acquisition of complex physical tasks. This includes real-time feedback loops, biomechanical modeling, and adaptive training environments. Social & Soft Skill
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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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Job Description The postdoctoral researcher will conduct independent and collaborative research on projects involving brain network analysis, including investigations on the Drosophila connectome
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and technologies. Knowledge of AI/ML is important, but the focus will be on the high-fidelity simulation environments, software networking bridges, and physical data collection architectures