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Field
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computational and data analytical methodology development and implementation; experience in supervised and unsupervised machine learning, low-dimensional models or deep learning models, and willingness to learn
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the intersection of machine learning and genomics. The project involves the development and application of advanced machine learning and deep learning techniques to understand the sequence-function relationships
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materials property predictions. A deep understanding of materials properties and close connections in academia and industry enable the group to explore exciting research avenues. For more information about
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Science, Biomedical Sciences/Engineering, Electrical Engineering, Medical Physics, or related disciplines with a strong background in artificial intelligence and medical image analysis. Experience in deep learning
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bioinformatics, physics, statistics, computer science, computational biology, or related fields. Experience programming in Python (or R) as well as bash/shell scripting. Experience with machine-learning and deep
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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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The laboratory of Dr. Ryunosuke Amo at the Fralin Biomedical Research Institute at VTC is seeking a Postdoctoral Associate to investigate neurocircuit mechanisms of learning and decision-making
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artificial intelligence, with strong research, innovation, and experiential learning components. This includes building and sustaining relationships with international collaborators and both federal and
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quantum chemistry calculations and data-driven materials property predictions. A deep understanding of materials properties and close connections in academia and industry enable the group to explore
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Measure Theory : Leveraging foundational mathematical frameworks to design robust modeling approaches. 2) Deep Learning : Exploring cutting-edge techniques such as multimodal data integration, diffusion