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education and/or experience in one or more of the following: Experience with FPGAs, Microelectronics, Machine Learning, and/or Software Development using languages like C/C++, Java, and Python Application
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program and complete the degree prior to the appointment start date. The ideal candidate would have some, but not necessarily all, of the following: PhD. in Materials Science, Chemical Engineering
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our research. This is an excellent opportunity to develop skills in silicon photonics and prototyping. This position is open until filled. This position is open to applicants with a PhD. To contact Drs
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. Application deadlines vary by opportunity. PhD candidates interested in a collaborative thesis project may be eligible for DOE's Office of Science Graduate Student Research Program . Duration: Appointment
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performed in collaboration with other computational and experimental teams within ARL and academia. Qualified candidates should be US Citizens and have received their PhD in Materials Science, Mechanical
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solutions based on an examination of the problem presented and the current state of the art in various technologies. The successful applicant will have a PhD in Physics or a related discipline with an excess