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research, preferably with 3D modelling skills. ¿ Foundational expertise in machine learning and big data analytics Job Summary Postdoctoral Researchers support teams of KSU faculty and students
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high-value polymers from complex waste streams such as multilayer packaging and mixed plastic waste, leading to large volumes being incinerated or landfilled. Solvent based recycling offers a promising
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the coming years. However, their syntesis relies heavily on energy-intensive processes requiring large amounts of high-temperature heat, which is currently supplied mainly by fossil fuels. Due
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on research topic that may be presented to small and/or large groups. Actively participate in the preparation of required technical progress reports to research sponsors. Data management Harmonizing phenotypes
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modeling, optimal power flow (OPF), surrogate modeling, and data-driven analysis of large-scale electric power system simulations on DOE leadership-class computing resources. The candidate is expected
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the Materials Engineering Group within the Large Scale Structure Section, Neutron Scattering Division, Neutron Sciences Directorate at Oak Ridge National Laboratory (ORNL). The selected candidate will work in a
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About the role The postdoctoral researcher will work on a project funded by Amazon Robotics that aims to improve decision-making in large mobile-robot fleets through learning-based corrections
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learning modelling expertise with experience in the analysis of challenging large-scale data sets. Experience with cellular imaging data or virology/immunology are a plus.Relevant skills include:•Experience
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science, machine learning or a related field. Strong experience working with clinical, biomedical, genetic, electronic health record, or health administrative data. Experience with large language models
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, or digital health. Responsibilities The Postdoctoral Scholar will: Analyze large-scale datasets from cohorts and clinical trials, including longitudinal data. Develop and implement predictive models