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, preferably with applications to AI systems ● Design, analysis, and modeling of AI hardware such as deep neural network accelerators or neuromorphic computing ● Emerging AI/ML models and hardware
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have performed such studies for a long time and successfully discovered multiple new drug effects under this umbrella. Specifically, this position will work with generating signals within the domain
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 2 days ago
Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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preferred: the development of computational models to represent structural performance using commercial and research software tools the development and validation of neural network models focused
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. Under the mentorship of the PI Dr. Karen Chen, the postdoc will collaborate with the MedRIN network to disseminate findings enhancing innovation, rigor, and open access for scientific communities in
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for funding opportunities. Collaborate with industry partners, academic colleagues, and interdisciplinary teams. Engage in professional development and networking activities. Knowledge, Skills, and Abilities
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education. We offer modern laboratories, greenhouses, semi-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and international research network
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collaborations with investigators outside of UVA and encourage trainees to integrate into this collegial research network. For additional information about the position, please contact Dr. Finan, at finan
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/ ). The candidate is expected to support Prof. Katrin Vorkamp’s research in this centre, with possibilities for networking and exchange on PFAS. However, the candidate is also expected to contribute to Prof. Katrin
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going to do Analyze a uniquely extensive neuroimaging dataset (90 minutes of functional MRI per participant across multiple sessions and conditions, detailed structural and diffusion-weighted data