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Field
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technologies. Key Responsibilities: Develop and optimize hard carbon synthesis processes using bio-based and non-bio-based precursors. Explore innovative methods to enhance material properties for energy storage
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(CFD) to develop and optimize new processes and equipment designs using high-performance computing Develop process- and facility-scale models as the foundation for digital twins of chemical processing
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components. Work closely with a beam diagnostics physicist and controls group engineer to install and optimize diagnostic systems. Develop and integrate mmWave diagnostics equipment for beam position
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in engineering or a field related to the project; • Knowledge and proven expertise in computational optimization methods and discrete-event simulation, with experience in regular service design
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dislocation dynamics (DDD) code from TRIDIS, NUMODIS, or OpenDIS, based on the candidate's programming skills (Fortran, C++, or C). - Validate the DDD-FFT coupling required to optimize calculations
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potential. Given the medicinal chemistry–driven nature of this project, we are specifically seeking a candidate with documented experience in lead optimization, including structure–activity relationship (SAR
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manufacturing. AI methods will then be applied to this large database to inform optimal processing parameters that will produce components with reliable material properties. The process will be validated in a
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., proficiency in Python, PyTorch, OpenCV) and experience in deep learning model optimization and familiarity with AI model deployment are required. Candidates with experience in quantitative CT algorithms
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polymers, using additive manufacturing. AI methods will then be applied to this large database to inform optimal processing parameters that will produce components with reliable material properties
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AI-modeling and coding. The successful candidate will work alongside a multidisciplinary team, leveraging artificial intelligence and computational methodologies to optimize treatment plans, enhance