18 bayesian-target Postdoctoral research jobs at University of Washington in United States
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-development and refinement of conceptual models; devising management scenarios; building network models in one or more platforms (e.g., loop analysis/qpress; fuzzy cognitive maps/Mental Modeler; Bayesian belief
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the active target and the calorimeter, employing cutting edge detector technologies (LGADs & LYSO) and fast electronics. Our team also carries a host of simulations to prototype the experiment and develop
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target specifications of 60 Hz sampling rate and 100 m sampling length. The data for this project will come from a 3-month experiment, scheduled for November 2025 – January 2026, on the two cables
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associated events that may serve as both therapeutic targets and biomarkers for early onset dementia such as early onset Alzheimer’s disease and frontotemporal dementia. Our research leverages comprehensive
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diseases including pulmonary hypertension, and 2) identifying novel precision therapeutic approaches and targets for lung diseases and right heart failure due to pulmonary hypertension. Current research
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that can facilitate timely diagnosis and inform targeted interventions for infants vulnerable to delayed language development. The successful candidate will join a collaborative, multidisciplinary team
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Position Summary The Targeted Treatments Laboratory at WashU is looking to hire a postdoctoral fellow to work on developing ultrasound-based neurostimulation devices and for applying them in
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pulmonary vascular endothelial cells contributes to pulmonary vascular remodeling. Our current research program includes investigations into the role of hyperactive mTOR (mechanistic target of rapamycin) in
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assessments, the research seeks to discover early markers that can facilitate timely diagnosis and inform targeted interventions for infants vulnerable to delayed language development. The successful candidate
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pathogenesis that could be targeted to ameliorate the burden of viral diseases. Our multidisciplinary approach to gather an inclusive mechanistic understanding of the processes that result from the interaction