80 applied-physics-"https:"-"https:"-"https:" Postdoctoral positions at Oak Ridge National Laboratory
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Peatland Responses Under Changing Environments) experiment and other DOE-supported observational networks. Major Duties/Responsibilities: Develop, implement, and test new and improved process representations
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, experimentalists, and engineers/physicists conducting basic and applied research in support of the Laboratory’s missions. Participate in the development of multi-physics simulations with machine learning (ML
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multiple institutions to collaboratively support scientific advances guided by AI/ML, remote sensing, process-based modeling, field observations and experiments, and advanced analytical techniques. Major
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their electrochemical performance with chemical change. This position resides in the Chemical Dynamics Group in the Chemical Sciences Division (X060), Physical Sciences Directorate (PSD) at Oak Ridge National Laboratory
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Requisition Id 16915 Overview: We are seeking a highly motivated postdoctoral researcher with a strong background in composite material development, technology development from lab to large scale
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. This position resides in the Soft Materials and Membranes Group in the Chemical Sciences Division, Physical Sciences Directorate (PSD), at Oak Ridge National Laboratory (ORNL). As part of our team, you will work
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data analytics, and manufacturing process optimization. Develop and apply models, algorithms, or data analysis workflows to support machining process understanding, machine tool characterization, process
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Physics to enable, promote and optimize the use of, and to maximize the benefits of using the world class facilities provided by NCCS. The successful candidate will be mentored and teamed with a staff
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Requisition Id 16875 Overview: We are seeking a Postdoctoral Researcher who will focus on the development of innovative processes and technology that can be applied to buildings and the grid
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Requisition Id 16723 Overview: We are seeking a Postdoctoral Research Associate with expertise in artificial intelligence (AI) and machine learning (ML) for multiscale physical systems