32 parallel-processing "SciLifeLab " "SciLifeLab " Postdoctoral positions at Oak Ridge National Laboratory
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approaches within the data science, process analytical technology, and chemical processing domains to address technology challenges for raidoistoope production and application. Major Duties
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-intensive processing of data originating at scientific edge systems using large-scale HPC/AI computational and storage systems. Design and evaluation of ephemeral, user-configurable, and composable
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solid materials within the uranium fuel cycle. Research topic areas will be related to understanding the effects of material processing on chemical and physical observables and translating this
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scale with a particular focus on AI for Science, Natural Language Processing (NLP), and AI for Operations. Our aim is to push the boundaries of computational science by integrating advanced AI methods
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data-intensive processing of data originating at scientific edge systems using large-scale HPC/AI computational and storage systems. Coauthor peer-reviewed publications, technical reports, and
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software tools for integrated system dynamic and transient simulations. Integrate post-processing measures for simulations to help with automation. Deliver ORNL’s mission by aligning behaviors, priorities
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, restart, and post-processing pipelines. Author peer reviewed papers for journals and conferences, technical reports, open-source software, and represent the organization by making technical presentations
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, and processing of materials under high temperature pyrolysis. The candidate will aid staff in conducting high quality research by developing, integrating, and deploying materials to be used for
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-design approaches for edge neuromorphic systems and event-driven processing architectures. Implement and validate spiking neural network (SNN) execution frameworks on microcontrollers (ARM, RISC-V
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derived land-cover and vegetation product, and experience with in-the-cloud image processing Experience with geospatial foundation models or pretrained Earth-observation models. Experience with