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the development of retrosynthesis and/or tree search algorithms. 3. Experience in the curation and analysis of reaction datasets 4. Experience in development of models that predict the function of enzymes using
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will focus specifically on investigating hillslope-riparian zone-stream connectivity at the reach-to-catchment scale for a better understanding and spatially distributed prediction of subsurface
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and neural activity. In particular, Postdoctoral AI Researchers may help develop brain foundation models that predict patterns of neural activity from large-scale, multi-regional recordings. Areas
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may have access to critical infrastructure as defined by Section 113.001(2) of the Texas Business and Commerce Code. If so, to be hired for and continue to be employed in this position you must maintain
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, transdiagnostic cohort Integrating theory-driven models with data-driven analytic approaches to improve prediction of symptom trajectories Contributing to study-wide discussions of analytic strategy, model
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from world-leading European research institutions and companies. You will work closely together with researchers across the consortium to predict and edit targeted gene promoters, to design relevant
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biological questions. Opportunities to Contribute Conduct research in the area of statistical modeling for single-cell multi-omic data. Perform clustering, differential expression analysis, predictive modeling
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oceanography, numerical modeling, acoustic propagation, and scientific computing. The postdoctoral researcher will develop, apply, evaluate, and integrate uncertainty modelling into the predictions
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multispectral, hyperspectral, and RGB imagery. These models will integrate crop growth models, agronomic data, and genomic information to predict key wheat traits under varying climate conditions. The position is
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ULXs/HLXs, QPEs, QPOs, and exotic tidal disruption events; contributing to population and event-rate predictions by combining detailed stellar models with dynamical formation scenarios for star–IMBH