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contributions in: Building novel generative models for predicting genome-scale evolutionary patterns using GenSLMs Developing scalable models that can, when integrated with high throughput molecular dynamics
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candidates with a strong theoretical background in one or more subfields including topological materials, strongly correlated quantum systems, quantum dynamics, and quantum information theory. A particular
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The Materials Science Division (MSD) of Argonne National Laboratory is seeking applicants for a postdoctoral appointee in experimental x-ray and materials science. Although exceptional candidates in
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development for dynamics imaging. The primary goal of this project is to develop single-frame ptychography methods that eliminate the need for scanning, enabling fast imaging and the visualization of dynamic
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The Nuclear Technologies and National Security Directorate (NTNS) is seeking a dynamic and passionate Postdoctoral Appointee with strong background in statistics or machine learning to lead an
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The Chemical and Materials Science group in the X-ray Science Division is seeking a highly motivated Postdoctoral Appointee. X-ray scattering is a key technique at the Advanced Photon Source (APS
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dynamics techniques. Job Family Postdoctoral Job Profile Postdoctoral Appointee Worker Type Long-Term (Fixed Term) Time Type Full time The expected hiring range for this position is $70,758.00 - $117,925.00
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characterization tools such XRD, XRR, XAS, AFM, Raman and FTIR, as well as analytical techniques such as LC-MS, GC-MS, and ICP-MS to perform in situ measurements aimed at understanding dynamics at the interface
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Analytics group at Argonne National Laboratory is dedicated to applying decision science principles to address some of the nation’s most pressing logistical challenges. We specialize in developing
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the magnetic correlations and dynamics in disordered magnetic systems as well as local atomic correlations in disordered structural lattices using neutron and/or X-ray scattering techniques. This will primarily