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. This position will contribute to the Forge project, which is focused on developing advanced multimodal AI capabilities that can learn across distributed data environments without requiring sensitive data to be
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appropriate, experimental apparatus Prepare and characterize materials using laboratory-based analytical techniques Analyze and interpret complex, multimodal experimental datasets Communicate research results
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, enabling multimodal in-situ investigation in areas of physics, chemistry, life and material sciences. We are seeking to fill a Postdoctoral Appointee position to support instrumentation development for X-ray
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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
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adaptive acquisition strategies that guide beamline measurements in real time to increase efficiency and improve image quality. Advance multimodal analysis methods that align and fuse structural, chemical
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cheminformatics or polymer informatics, molecular representations, descriptor engineering, RDKit, characterization-informed modeling, multimodal data fusion, interpretable machine learning, NLP, text mining