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Field
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will be viewed highly favorably. Experience with GPU acceleration or code parallelization paradigms (e.g., MPI, OpenMP, CUDA). FLSA Exempt Full Time/Part Time Full Time Number of Hours Worked per Week 40
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will support the development of an AI-enabled autonomous experimentation (AI/AE) platform aimed at accelerating materials discovery. Research areas of interest include, but are not limited to, organic
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pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental
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laboratory workflows. The position will focus on building the data resources, predictive models, and closed-loop decision frameworks needed to accelerate experimentation and advance next-generation autonomous
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pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental
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regulatory networks Prioritize targets for validation Enable predictive modeling of neuroimmune interactions Accelerate decision-making and scalability To maximize impact, proposals are encouraged to anchor
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to develop novel AI and machine-learning methods for accelerated materials discovery. The focus is on combining generative AI, active learning, first-principles simulations, and machine-learning potentials
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, accelerator activities, and other educational initiatives across the AURORA Alliance. monitoring platform usage, implementation outcomes, and key performance indicators (KPIs) related to adoption and
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and analysis methods for realistic CO2 electrocatalysis, with a focus on parallel investigations and accelerated aging. Dissect degradation processes of CO2 electroreduction catalyst, electrodes, and
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Infrastructure? No Offer Description Use real-world vessel data, agent-based modelling and digital twin technology to accelerate the transition toward zero-emission inland shipping. Job description The