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systems. The research will integrate multimodal transportation data, digital twins, vehicle dynamics and energy models, AI-based control and optimization, connected infrastructure, vehicle-in-the-loop
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candidate will support research and development projects that advance the state of the art in machining science, machine tool design and characterization, manufacturing process optimization, and
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to additive manufacturing (AM), virtual manufacturing, material characterization, topology optimization, and real-time sensing. This position resides in the Computational Sciences and Engineering
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modeling, and process optimization. In this role, you will leverage large-scale, heterogeneous datasets to develop and deploy AI-driven methods for: Real-time quality monitoring and control of
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optimization, and application-driven performance analysis for HPC, scientific Artificial Intelligence (AI), and scientific edge computing. We are a leader in computational and computer science, with
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). The postdoc will perform enhanced sampling molecular dynamics simulations using neural network potentials and deploy statistical mechanics (e.g., rare-event theory), Markov-state models for molecular
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-solving, conduct experimental campaigns, perform materials synthesis and analysis, sub-component fabrication, process optimization and integration, and prepare technical documents and research
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dynamics (CFD) to support system design and performance optimization. Experience in data center thermal management technologies, including air cooling, liquid cooling, direct-to-chip cooling
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Requisition Id 17231 Overview: We are seeking a Postdoctoral Research Associate who will focus on the development, application, and optimization of an active learning workflow for dataset
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optimization, scale-up, purification, and preparation of well-characterized target compounds. Apply a range of analytical and characterization techniques to evaluate chelator structure, affinity, selectivity