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Directed Research and Development (LDRD) project. This research focuses on understanding how critical elements are distributed at mineral-water interfaces, with the goal of revealing the fundamental chemical
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breakthroughs in NV sensor synthesis and host diamond heterointegration. The successful candidate will operate at the interface of these programs, playing a central role in developing and optimizing next
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-friendly software interfaces that enhance data accessibility of data and insight for diverse stakeholders. Facilitate ongoing communications and foster relationships with a broad array of stakeholders
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systems, including oxides, composites, and electrochemical interfaces, with the ability to apply insights from related research areas to solve battery materials challenges Demonstrated ability to process
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workflows, and immersive or experimental interfaces Integrate LLM-based and agentic AI systems with scientific visualization frameworks, in situ pipelines, and data analysis workflows Prototype and evaluate
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, including sulfide-based solid-state electrolytes Apply advanced characterization techniques, including synchrotron X-ray probes, to study battery materials and interfaces Conduct electrochemical testing
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problems. Experience developing dashboards, visual analytics tools, or decision-support interfaces. Strong record of peer-reviewed publications and demonstrated ability to lead technical research tasks
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domains such as nontrivial skyrmions, using external stimuli (e.g., optical excitations, electric and magnetic fields) and internal nanoscale heterogeneity, defects, and interfaces (e.g., twisting
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optimization schemes. From developing AI models to uncover structure-function relationships with limited data sets, to building automated electrode-electrolyte interface discovery workflows and implementing full
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, both focused on multimodal synchrotron characterization of defects and interfaces in oxides and 2D materials. These positions are part of a cross-facility initiative to build an “AlphaFold