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H2020 Teaming project (https://excelsior2020.eu/ ). ERATOSTHENES CoE is an autonomous Centre of Excellence with Cyprus University of Technology as its sole stakeholder, specialising in earth observation
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. Target start date is January 2026. Appointment Start Date: January 2026 Group or Departmental Website: https://woods.stanford.edu/ (link is external) https://sustainability-accelerator.stanford.edu/ (link
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prototype database of polymorphous materials. Contribute to the development of a Fortran-based HPC code. Implement routines for temperature-dependent optical and transport properties. Optimize workflows
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development, maintenance, and optimization of the advanced spectromicroscopy systems at the MAXPEEM beamline. Provide high-level experimental support and technical guidance to international visiting researchers
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skilled professionals in a pool of doctoral and postdoctoral fellows to provide specialized solutions to optimize production and preserve the environment. ABOUT ASARI The African Sustainable Agriculture
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 hour ago
, and create personal and professional sustainability. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. OUR VISION Our vision is to be
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applicants are expected to have a strong experience in hydrodynamic simulations and radiation transfer, preferably with interest in applying novel computational techniques, in order to optimize
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applications for the position of at the Faculty of Mechanical Engineering Research Assistant Professor (POST-DOC) under the NCN project No. UMO-2024/53/B/ST8/02908: “Optimization of hydrogen oxy-combustion and
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synthetic organic chemistry, including reaction design, optimization, purification, and structural characterization. Strong command of spectroscopic methods (H/C NMR, mass spectrometry, chromatography, etc
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optimization. AI/ML methods development: Neural networks, graph neural networks (GNNs), generative AI, or active learning for materials applications. Integration of theory and experiment: Using computation and