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States of America [map ] Appl Deadline: (posted 2025/01/10, listed until 2025/07/10) Position Description: Position Description Multiphysics, Machine Learning, and Uncertainty Quantification Postdoctoral Positions Los
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architecture, Design experiments, collect data, and validate ideas in collaboration with the broader engineering team. Profile and requirements The candidate will participate in research and development
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plant architecture optimization, but new areas, particularly in molecular biology, immunology, and genomics, are welcome. For more information, see: navlakhalab.net. Position Requirements PhD in
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. The expected base pay range for this position is listed in Pay Range field. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the qualifications
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researchers to analyze gene expression patterns within intact tissue architectures. By preserving the spatial information of RNA molecules in biological samples, this technology provides insights into gene
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solutions with real-world impact. Major responsibilities Conduct independent research and collaborate with others in the research group. Supervise Master's and/or PhD students (no teaching included
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) to improve disease characterization. Develop cutting-edge architectures (e.g., federated learning) for medical research. Publish high-impact research in leading journals and conferences. Collaborate with
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conferences. Qualifications: PhD in computer science with file systems, GPU architecture experience. Proven ability to articulate research work and findings in peer-reviewed proceedings. Knowledge of systems
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on reliability, security, and resilience of microgrid systems. This includes advanced control system design, modeling and analysis, control architecture design and communication-based control and optimization
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receive both individual and cohort mentoring and will benefit from professional development opportunities and programming. The candidate should have PhD in hand no later than May 2025 and should have