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design workflows for nanoporous carbon electrodes for sodium-ion batteries. The objective is to accelerate the exploration of virtual carbons with varied microstructures by combining numerical structure
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Responsibilities Conduct research in computational methods for environmental and engineering applications. Develop and analyze numerical algorithms, reduced-order models, and machine-learning-enhanced simulation
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on developing probabilistic latent-variable methods for large and structured biological data, with applications in genomics, spatial transcriptomics, and fluorescence imaging. High-dimensional and structured
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks for numerous retail, restaurant and performing arts discounts, savings on local child care centers and special
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livestock production, wildlife habitat, water resources, recreation, agritourism, and numerous ecosystem services. This position will address emerging challenges and opportunities through the application
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Energy For more information see: www.uu.se/earthsciences The successful candidate will join the research program Air, Water and Landscape Sciences (LUVAL) (https://www.uu.se/en/department/earth-sciences
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of lectures and seminars aimed at the general public. 6.2 — The score obtained in the curricular evaluation method is expressed on a numeric scale of 0 to 20, considering the valuation up to two decimal places
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from among these broad research areas. Their work will focus primarily on modeling, numerical evaluation, and characterization of the proposed systems and methods. Depending on the research topic
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Engineering, Mechanical Engineering, or related fields; b) Experience in the numerical modelling of acoustic phenomena; c) Experience in using acoustic tools, namely ultrasound-related, for liquid and solid
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their influence on climate. The team also has extensive expertise in the development of numerical and statistical models. The Inria AIRSEA project team at LJK develops mathematical and numerical methods