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applications in beamline science and high energy physics, as well as interaction with device and materials researchers. Primary responsibilities will be to design and implement new methods to deploy, monitor
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) methods. The materials and devices would consist of patterned multilayer magnetic thin films, ferroelectric materials such as Zr-doped HfO2, as well as novel quantum materials. Of particular interest is the
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, and spatial transcriptomics. Key responsibilities include: Developing AI/ML methods for image alignment across modalities Automated feature detection Predictive modeling of vascularization patterns
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. Expertise in ecosystems valuation, mixed methods research, life cycle assessment, or sustainability assessments, is a plus. Uploads Curriculum Vitae Undergraduate and Graduate School Transcripts; unofficial