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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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procedures to engineer, manipulate, and phenotype yeast cells. They will perform molecular, genetic, and microbiology techniques and will be expected to select and adapt methods to meet specific research needs
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for a second year, based on performance. Start date is negotiable, but the position is available immediately. Required Qualifications Ph.D. in Biology, Bioinformatics, Genomics, Population Genetics
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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The Multiphysics Computations Section at Argonne National Laboratory is seeking to hire a postdoctoral appointee for performing high-fidelity scale-resolving computational fluid dynamics (CFD
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-Informed Neural Networks (PINNs) and geometric deep learning. Experience with active learning, agentic workflows, or other methods for autonomous experimentation. Familiarity with high-performance computing
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& Implementation Science Graduate Certificate Program . Responsibilities: Perform investigator and principal investigator functions, including: · Design, execute, and evaluate research to optimize
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March 2026. The position is a full-time, 24-month (two-year) appointment, which may be extended to a third year upon successful performance, subject to funding and mutual agreement. Postdoctoral Scholar
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reinforcement learning Experience with high-performance computing, physics-based simulations, and multimodal data workflows Demonstrated ability to train and deploy AI/ML models using simulated and experimental
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technologies. The Pritykin lab (http://pritykinlab.princeton.edu ) develops computational methods for design and analysis of high-throughput functional genomic assays and perturbations, with a focus on multi