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Organization UT-ORII Reference Code UT-ORII-SMARTSUMMER2027 How to Apply Apply Today! Selection and Review: Acceptance letters will be distributed in January 2027. Duration is 10 weeks from May 24
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environments, scripting languages for handling large-scale genomic data, and learning how to apply programming languages to implement complex computational models and algorithms. Learning objectives will include
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Linux environments, scripting languages for handling large-scale genomic data, and learning how to apply programming languages to implement complex computational models and algorithms. Learning objectives
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developing algorithms for RNA-seq and whole-genome data. Learning Objectives: Under the guidance of mentors, you will have the opportunity to learn to: (a) conduct research using swine infection models; and (b
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natural resource management. Through this research experience, you will gain exposure to interdisciplinary approaches used to study the spatial distribution, spread, and management of chronic wasting
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include acquisition, documentation, maintenance, characterization, breeding, enhancement and distribution of the assigned crops. PGRU maintains approximately 20,000 different accessions, representing over
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-Informed Neural Networks (PINNs) and hybrid models that respect the physical laws governing the real-world system Applying Deep Reinforcement Learning (DRL) algorithms to optimize processes within simulation
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benefits. Proof of health insurance is required for participation in this program. Health insurance can be obtained through ORISE. ORISE offers all ORISE EPA graduate students and Postdocs a free 5-year
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ORISE EPA graduate students and Postdocs a free 5 year membership to the National Postdoctoral Association (NPA). The successful applicant(s) will be required to comply with Environmental, Safety and
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gallium nitride MEMS technology. In this specific project the postdoc will help with developing a thermal infrared imaging micro-instruments working at 500C using GaN based acoustic and micromechanical