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psychiatric outcomes. The successful candidate will bring demonstrated expertise in Bayesian statistical methods and causal inference frameworks (e.g., Bayesian causal networks, cross-lagged panel
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Bayesian modelling framework to new products and dynamic storage conditions and integrating it into the MICROORC decision-support architecture; and (ii) development of data infrastructure and models
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automated finite element and inverse-identification workflows that learn constitutive parameters from a single informative test through Bayesian optimization, together with quantification of measurement
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advanced imaging processing (filtering, thresholding, segmentation. Object detection, and tracking for time-series or live imaging, handling high-dimensional datasets flow cytometry) and integration
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within experimental enclosures with the ultimate aim of reconstructing the visual circumstances leading up to mate detection. The successful candidate will contribute to an Australian Research Council
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between the elements composing the object. Since neutron attenuation primarily results from interactions with atomic nuclei, the underlying physics is fundamentally different from that of X-rays
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that learn constitutive parameters from a single informative test through Bayesian optimization, together with quantification of measurement and model-form uncertainty. Approximately half of the effort
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outcomes in cancer, and conducting Bayesian meta-analyses. This position also provides opportunities to develop innovative statistical methods related to clinical trial design, variable selection in high
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Link https://www.ubjobs.buffalo.edu/postings/64290 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89 Posting Detail Information Position
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Link https://www.ubjobs.buffalo.edu/postings/64290 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89 Posting Detail Information Position