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for new physics and performance studies. Candidates with experience in modern AI/ML methods—such as transformer architectures, tokenization strategies, and embeddings—are especially encouraged to apply
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ferroelectrics, plasmonics, semiconductors—into photonic and THz architectures. This is an outstanding opportunity for candidates with a strong background in nanofabrication to contribute to cutting-edge quantum
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applications. Develop and optimize electrode materials and architectures, including synthesis and/or surface modification, to improve electrode selectivity and stability. Collaborate with internal and external
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models Disseminate research through publications, presentations, and open-source contribution Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in Materials Science, Data
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progress, and funding. This is an on-site role at Argonne National Laboratory (Lemont, IL), within the X-ray Science Division (XSD) and the APS scientific user-facility. Position Requirements PhD completed
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and is based at Argonne National Laboratory (Lemont, Illinois). Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in high energy physics, or a related field Experience
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in computational science, machine learning, and experience with synchrotron data analysis are strongly encouraged to apply. Position Requirements PhD completed in the past 5 years or soon to be
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monitoring and gradient tests. Participate in training opportunities, including attending the US Particle Accelerator School (USPAS). Position Requirements PhD completed in the past 5 years or soon to complete
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”, “Firstname_Lastname_cover_letter”. Include links to code examples in your CV (e.g., GitHub page, past project repositories). Position Requirements A recent PhD (completed within 5 years, or soon to be completed) in computer science
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evening/weekend hours. Position Requirements PhD (completed within the last five years, or soon to be completed) in Physics, Chemistry, Materials Science, or a related field. Background in ultrafast science