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completed at the deadline for applications, including those resulting from academic degree recognition processes. Preferential Requirements: Proven experience in numerical simulation, namely CFD applied
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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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of the urban soil/subsoil in Amsterdam required for optimal tree growth. Ecosystem services include: storing water in the unsaturated zone; draining water via groundwater; sequestering carbon; filtering and
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structural topology optimization vision-based structural health monitoring autonomous and drone-based infrastructure inspection and vibration monitoring Successful candidates must hold a PhD degree in Civil
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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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project financed by the National Science Centre – 1 position Project title: “Design of friendly for environment processing of quantum resources and cost of security of quantum communication networks
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an autonomous framework for setting up, executing, and optimizing complex electronic structure workflows, ranging from ground-state Density Functional Theory (DFT) to many-body perturbation theory methods such as
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
research facility, the UNC Genome Sciences Building, ICS brings the best commercialization processes to the $1.15 billion UNC research enterprise. Position Summary We are seeking a postdoctoral research
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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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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