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, and autonomous materials discovery. This position, supervised by Ashley Bielinski and Alex Martinson focuses on the development of semiconductor materials and the repair of electronic defects
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through the design and synthesis of nanoscale epitaxial oxide thin films. This position supports a three-year Laboratory Directed Research and Development (LDRD) project focused on developing scalable
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-angle X-ray Photon Correlation Spectroscopy Development of novel inline optics at the beamline that enables simultaneous x-ray scattering and Raman spectroscopy for high-pressure calibration, as
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methods for in situ and operando characterization at the recently upgraded Advanced Photon Source (APS), expediting the development of critical material recovery and battery recycling strategies
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multidisciplinary team of scientists and High Performance Computing (HPC) engineers. In the AL/ML group, we work at the forefront of HPC to push scientific boundaries, carrying out research and development in state
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applying machine learning or other elements of artificial intelligence to solving significant scientific or engineering problems Interest in software development, with particular emphasis on the Python
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photonic platforms through nano- and meso-scale lithographic fabrication. This position supports two complementary, three-year Laboratory Directed Research and Development (LDRD) projects focused on hybrid
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development and web-based applications, back-end services and API design (e.g., FastAPI, Flask), and deploying applications in local or cloud environments. Experience working with large-scale datasets
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(e.g., pump–probe methods). Experience with synchrotron X-ray experiments. Experience with instrumentation development. Excellent oral and written communication skills. Demonstrated ability to work
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an exciting approach to agentic, fully autonomous thin film development using a combination of automated electroplating, in-operando measurements, and AI driven algorithms. He or she will work with a team of