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Field
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at design stage without compromising energy density at cell level. With large-scale proliferation, sustainable and recyclable materials are needed to avoid used cell waste accumulation. Inspired by safe
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microscopy, SEM, x-ray scattering, gas pycnometry & density gradient column analysis, LFA thermal diffusivity, single filament tensile testing, dilatometry for CTE, battery cell fabrication & cycling analyses
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neuroscience community at the CIPMM and offers a highly interdisciplinary research environment. Your role: perform cutting edge research with advanced techniques, including high-density extracellular recordings
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mechanics, statistical modeling, and linear algebra Preferred Qualifications: Experience with density matrix renormalization group and tensor network algorithm development and application. Competency with
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. They will analyze data from existing simulations, identify relevant descriptors of carbon microstructure, implement AI models to predict adsorption, local densities, and energetic trends, and validate
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Max Planck Institute of Microstructure Physics, Halle (Saale) | Halle, Sachsen Anhalt | Germany | about 2 months ago
related field. Experience in one or more of the following areas is desirable: Density functional theory and electronic-structure calculations Wannier-based methods and quantum transport theory, such as Kubo
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(1) Post-Doctoral Research Grant with reference number BPD|2026/951 under the scope of the Project SHELL: Serverless High-density Environment for eLastic cLouds– refª LISBOA 2030-FEDER-00748300
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dynamics through multi-temporal imagery and change-detection approaches. Derive and analyse urban and environmental indicators related to verticalisation, including building height and density, built volume
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National Energy Technology Laboratory (NETL) | Albany, New York | United States | about 18 hours ago
will participate in conducting multiscale modeling such as quantum mechanics density functional theory calculations, molecular dynamics simulations, Monte Carlo simulations, and/or machine learning
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are interested in studying the role of extracellular matrix factors including substrate rigidity and ligand binding density in regulating these processes. The insights gained from these empirical studies will be