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About the Opportunity Job Summary Under the direction of the Principal Investigator, the Postdoctoral Research Associate designs and conducts experimental heterogeneous-catalysis research within
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, problem-solving, collaboration — using a pre/post design with approximately 300 co-op students, paired with structured employer interviews and a library of just-in-time learning interventions
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technologies. The successful candidate will take primary responsibility for designing, planning, and executing experiments that drive the project's scientific and technological progress, with a strong emphasis
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, and post hoc support for laboratory studies and provide the substrate necessary for artificial intelligence (AI) guided experimental design and optimization of scarce/costly resources, such as animal
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provide the substrate necessary for artificial intelligence (AI) guided experimental design and optimization of scarce/costly resources, such as animal models. As AI capabilities advance, the computational
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; developing novel ways to combine quantum chemical methods and machine learning; developing quantum algorithms for computational chemistry on quantum computers; and applying existing and new computational
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; developing novel ways to combine quantum chemical methods and machine learning; developing quantum algorithms for computational chemistry on quantum computers; and applying existing and new computational
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quantum chemical methods and machine learning; developing quantum algorithms for computational chemistry on quantum computers; and applying existing and new computational methods to study multiscale
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written and oral communication skills and demonstrated ability to write peer reviewed quality work or invention disclosures for patent applications, technical reports. Consistent track record
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machine learning techniques to raw ultrasound data. The project involves developing novel algorithms that integrate physics, engineering, and AI to extract meaningful and clinically relevant information