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devices based on speckle contrast optical spectroscopy (SCOS) and related metthods akin to near-infrared diffuse correlation spectroscopy. The fellow will be working with teams that collaborate with USA
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include as the main techniques operando Raman spectroscopy, IR Spectroscopy, and TEM . Your main responsibilities will be: Take the responsibility of the operando characterization of the materials selected
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approaches combining ab initio modeling, Raman vibrational spectroscopy, and machine learning for the study of electrode materials and their interfaces, with a focus on operando monitoring of full battery
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of scienceYears of Research Experience1 - 4 Additional Information Eligibility criteria -Optical spectroscopy in the visible energy range (luminescence, absorption, Raman scattering) - Strong background in
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The Materials Science Division (MSD) at Argonne National Laboratory is seeking highly motivated applicants for a postdoctoral appointee to join a multidisciplinary team developing next-generation tunable and narrow-bandwidth terahertz (THz) radiation sources and applying them to the study of...
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carbon and nutrient dynamics in peatland ecosystems, with a strong focus on FTIR spectroscopy and chemometrics. The tasks include the development and application of spectroscopy-based methods as
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are seeking a postdoctoral researcher to join our Peatland Ecology Group to investigate plant–soil interactions and carbon and nutrient dynamics in peatland ecosystems, with a strong focus on FTIR spectroscopy
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About the Role Post-doctoral research associate in Modelling X-ray Spectroscopies for the Nuclear Fuel Cycle working with the Oakley group, Department of Chemistry, School of Natural Sciences
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research associate in Modelling X-ray Spectroscopies for the Nuclear Fuel Cycle working with the Oakley group, Department of Chemistry, School of Natural Sciences, The University of Manchester. Applications
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are recruiting a highly motivated postdoctoral researcher to lead the first implementation of Deep-UV Raman spectroscopy for real-time polymer identification. This project addresses a critical gap: no established