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learning (RL) and deep reinforcement learning (DRL) for autonomous process management, dynamic resource distribution, and real-time decision-making. Design and deploy digital twins for integrated chemical
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learning analytics, with a focus on the deployment of eye-trackers or fNIRS devices; creating end-to-end prototypes of AI systems, including LLM integration, backend development, and interface design and
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human health. Within this mission, the Iorio Group works at the intersection of computational biology, functional genomics, and precision oncology, integrating machine learning, large-scale CRISPR
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. Retirement Options: You may be eligible to participate in the FICA Alternative Plan and other deferred retirement plans. Leave: Full-time post-doctoral associates earn paid leave bi-weekly. To learn more visit
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postdoctoral researcher, you will be a highly active member of the CLS department and EER division, with a particular affiliation to the Digital Learning and Teaching research group. You will be expected to plan
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scalability of simulation workflows via: Parallelization and performance engineering GPU/accelerator optimization Algorithmic innovation Experience applying machine learning or AI to molecular simulation
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may also support intellectual property development and the translation of methods into deployable solutions. Grow your skills You will enhance your scientific and professional skills by: Designing and
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responses and microbial persistence. Learn to design, train, and iteratively refine machine learning models to learn distinguishing features of true microbial contaminants versus host-derived and process
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-identification, and version control. • Collaborate with clinicians, engineers, and data scientists to integrate imaging biomarkers into predictive and diagnostic models. • Contribute to study design, IRB
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a highly motivated Postdoctoral Associate at the Herbert Wertheim UF Scripps Institute for Biomedical Innovation & Technology in Jupiter, Florida. The area of our research focuses on coronary