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per week. The appointment is initially for one year, with the expectation of a longer-term collaboration and the possibility of renewal. Dr. Fonseca’s research focuses on identifying early predictive
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(7) Deep Learning in Biomedical Sciences (8) Theory and methods on prediction, control and estimation (9) Mathematical analysis and modeling of social behaviors where numbers (1)-(9) above correspond
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-phenotyping of individuals with autism and controls including brain imaging (EEG and MRI) and a battery of cognitive tests. Our group is currently developing new methods for analyzing whole genome and brain
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or more of the following areas: Advanced Process Control and Optimization Digital Twin and Modeling & Simulation Predictive Maintenance and Fault Diagnosis Industrial IoT and Edge Computing Good programming
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Requisition Id 16704 Overview: We are seeking a Postdoctoral Research Associate who will focus on AI-enabled plant ecophysiology to improve mechanistic understanding and predictions of ecosystem
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the area of precision network neurology, with a focus on understanding how risk factors contribute to brain aging. This research is situated within the framework of predictive, preventive, personalized, and
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, reliability, and consistent behavior. Learning-based controllers can achieve high performance in complex and uncertain environments, yet ensuring predictable operation under distribution shifts, sensor noise
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intelligence as applied to trauma systems and acute care surgery. Fellows will engage in cutting-edge research spanning multiple domains, including risk prediction models for surgical complications, clinical
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guided by theoretical predictions and will combine magnetotransport measurements with material growth and characterization, including MBE and angle-resolved photoemission spectroscopy (ARPES). What We
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Reinforcement Learning Fine-tuning and Application of Large Language Models Time-Series Data Prediction and Modeling Intelligent Decision-Making and Optimization Algorithms Strong programming skills (proficient