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CBS - Postdoctoral Position: Artificial Intelligence Applied to Metabolomics for Health Applications
datasets. Developing explainable AI (XAI) models to facilitate clinical decision support systems (CDSS) and enhance trustworthiness in healthcare settings. Addressing longitudinal and time-series data
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analyzing complex time series data. Brief Description of Duties: The Senior Postdoctoral Associate will assist the Principal Investigator Dr. Siwei Wang in the department of Neurobiology & Behavior
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for comprehensive systems biology modeling. Identification of causal relationships and biomarker discovery through integrative approaches. Time-series and longitudinal multi-omics data analysis for disease
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models, attention mechanisms, and foundation models. 3) Time-Series Analysis : Specializing in modeling, forecasting, and anomaly detection to address complex real-world challenges. The successful
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the more extreme climates of the future and (2) redesigning root development via fine-scale perturbations of hormone dynamics with minimal off-target effects. The Jones group at SLCU has recently engineered
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and other machine learning models (especially neural network models, time-series models) and coding in python and R. Strong collaborative skills and ability to work well in a complex, multidisciplinary
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approximations for thermodynamically consistent PDEs, reduced order modeling of high dimensional data, feature extraction in medical data, discovery of dynamical systems from time series data, machine-learning
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Details Posted: 02-Apr-25 Location: Houston, TX, United States, Type: Full-time Internal Number: 4648 About Rice: Boasting a 300-acre tree-lined campus in Houston, Texas, Rice University is ranked
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Posted on Wed, 12/04/2024 - 17:08 Important Info Faculty Sponsor (Last, First Name): Huttenhain, Ruth Stanford Departments and Centers: Molecular & Cellular Phys Postdoc Appointment Term: One year
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of the following research and educational areas is a great advantage: Visual analytics of large data sets for decision support Visualization of multidimensional and/or time-series data in combination