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. Position Requirements Recent or soon-to-be-completed PhD (typically completed within the last 0-5 years) in mechanical engineering, materials science, civil engineering, structural engineering, or a closely
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: https://www.ornl.gov/content/research-integrity Basic Qualifications: To be eligible you must have completed a PhD in chemistry, physics, engineering, or a related field with in the last 5 years
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commuting to the assigned work location when necessary. Qualifications We Require: PhD in engineering, physics, applied mathematics, computer science or other relevant field Ability to obtain and maintain a
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Argonne National Laboratory’s Accelerator Science Division is seeking a Postdoctoral Appointee to contribute to the development of a Sub- THz Collinear Structural Wakefield Accelerator
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machine learning approaches with large-scale biological data to automate genome curation by detecting, interpreting, and correcting structural errors, reducing manual effort from weeks to minutes thus
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that combines modern machine learning approaches with large-scale biological data to automate genome curation by detecting, interpreting, and correcting structural errors, reducing manual effort from weeks
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molecular mechanisms by which endocytic structures remove damaged proteins in human physiology and neurodegenerative disorders. Successful candidates will have: A PhD in cell biology, neuroscience, or related
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experience and qualification. Candidates should have a PhD in Mechanical Engineering, Engineering Mechanics, or closely related fields. Previous research experience in biological systems is a plus. We welcome
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. Sushil Paudyal and Dr. Karun Kaniyamattam, with close collaboration from a new PhD student and an extended multi-institutional research team across Texas, California, and Wisconsin. This objective includes
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, and Gemini. Ability to work effectively in interdisciplinary and collaborative environments. Required Education: PhD from an accredited college or university in Educational Technology, Learning