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                Field
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                provides excellent research computing resources (high-performance computing clusters, large-scale storage, and advanced visualization). Initial term: 2 years, renewable for a 3rd year contingent on 
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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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                United States Application Deadline 24 Oct 2026 - 23:59 (America/Los_Angeles) Type of Contract Not Applicable Job Status Full-time Hours Per Week 40 Is the job funded through the EU Research Framework Programme 
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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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                , graduate, and undergraduate students to advance project goals. Provide technical guidance and mentoring on CFD, numerical methods, and high-performance computing workflows. 15% - Publication & Dissemination 
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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 
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                , high-performance computing (HPC), and computational sciences. Major Duties/Responsibilities: Participate in: (1) design and implementation of scalable DL algorithms for atomistic materials modeling 
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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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                a diverse team of biological and chemical scientists Experience with high performance computing environment (HPC) / cluster job submission Knowledge of statistical methods, data science algorithms 
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                research experience in water-limited ecosystems. Work will focus on the physiological functioning of water-limited plants and ecosystems under intensifying hydroclimate extremes. The successful candidate