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Field
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Nanomaterial Discovery, integrating synthesis, advanced characterization, physical modeling, and computer science to iteratively explore a wide range of material parameters. The CFN develops and utilizes
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(or expect to soon receive) a PhD in materials science, physics, chemistry, electrical engineering, mechanical engineering, or related fields. Specific inquiries about the position may be sent
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to underrepresented demographics, and providing an inclusive application and interview process, our Talent Acquisition team aims to hear all voices equally. We strive to attract a highly diverse workforce and create a
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to underrepresented demographics, and providing an inclusive application and interview process, our Talent Acquisition team aims to hear all voices equally. We strive to attract a highly diverse workforce and create a
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an inclusive application and interview process, our Talent Acquisition team aims to hear all voices equally. We strive to attract a highly diverse workforce and create a culture where every employee feels
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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novel or custom imaging techniques. We are seeking candidates with a PhD in biology, physics or a related discipline and optical microscopy experience. To apply, please email a single PDF file containing
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, experience with RF MEMS, experience with characterization of photonic and phononic microsystems, and an overall strong background in experimental physics. The candidate will work under the supervision of Prof
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
/Description: The Klotsa Lab at UNC Chapel Hill is seeking a Postdoctoral Research Associate in the field of computational soft matter physics. The PDRA will be funded by and will be part of a Department of