80 phd-rehabilitation-engineering-computer-science Postdoctoral research jobs at Argonne
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collaborators. Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in field of experimental physics, engineering, or a related field Effective communication skills, both verbal
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We invite you to apply for a Postdoctoral Appointee position in the Chemical Sciences and Engineering Division (CSE) at Argonne National Laboratory. This position offers the opportunity
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should have a strong background in experimental physics and/or engineering, or in a relevant field. Experience in superconducting qubits, nanofabrication, photonics, and low-temperature experiments
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The Chemical Sciences and Engineering Division is seeking applicants for a postdoctoral appointee who will conduct computational research in Selective Interface Reactions (e.g., atomic layer
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of deposition science and heterogenous interfaces. Position Requirements: A PhD in chemistry, materials science or related field; received within the last 5 years or upcoming year. Significant written and oral
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PhD (within the last 0-5 years) in field of physics, chemistry, materials science, electrical engineering, or a related field Demonstrated expertise in electronic structure theory Experience with large
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to contribute to other large-team scientific projects in materials engineering, chemistry, and beyond at Argonne National Laboratory. Position Requirements Required skills: Recently completed PhD (within the last
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, materials synthesis, and separation processes. Position Requirements Recent or soon-to-be-completed PhD (typically within the last 0–5 years) in chemistry, geochemistry, chemical engineering, physics
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Science, Chemistry, Chemical Engineering, Electrical Engineering, Computer Science, Physics, or a related field Demonstrated proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow
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. Experience with experimental physics and/or engineering is a plus. Presentation and documentation skills for describing research and clearly communicating results and data. Excellent collaboration skills and