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Field
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patients and non-human primates are conducted using identical behavioral paradigms and combined with computational approaches. We are seeking an extremely motivated postdoctoral researcher with background in
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the Division's Office of Program & Employment Compliance at compliance@uada.edu . For general application assistance or if you have questions about a job posting, please contact Human Resources at 501-671-2219
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the atmosphere and understand transport pathways by combining observations of PFAS in precipitation from the National Atmospheric Deposition Program with atmospheric modeling techniques. This position primarily
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areas in data science and engineering systems. Required Knowledge, Skills, and Abilities Demonstrated expertise in computational sciences and numerical modeling. Demonstrated expertise in machine learning
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, Education, Experience, Certifications, Licensure) A Ph.D. in Mathematics, Computer Science, Biomedical Engineering, or related discipline is required. Experience in mathematical modeling, programming
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Qualifications Hands-on experience integrating hardware + software for robots (arms, mobile, mechatronics) and real-time control. Experience in computer vision, multimodal perception, or foundation models (VLMs
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at the intersection of scientific computing and machine learning. At a high level, the project is to build neural network models of potentials that appear in Hamiltonians for time-dependent quantum systems. The postdoc
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for the conceptual framework, design, and implementation of these machine learning models, ensuring trustworthy computations and scalability on the DOE’s leadership computing facilities. The focus will be
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computational approaches to uncover novel biomarkers and therapeutic strategies for CNS disorders. Postdoctoral Research Fellow- Neuroimaging and Computational Modeling in the laboratory of Asim Bag, MD Job
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, distributions, and dynamics in metallic, oxide, and semiconducting systems. This project integrates high-throughput and in situ TEM experimentation with AI/ML-driven image analysis and computational modeling