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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
ideas generated in this role will feed directly into peptide optimization and help refine the design methodology. The Keating Lab is a collaborative and stimulating research environment with strong
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Research Fellow to work
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on modelling, optimization, control, and AI applications for smart buildings. The work includes collaboration with international research and industrial partners, publication of scientific articles, and
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 13 days ago
ocean models, available in-situ data, and satellite observations. The study builds on analyses from a consortium of models, such as Estimating the Circulation and Climate of the Ocean (ECCO, http
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-scale conditions and evaluate recycled bio ashes as a source of nutrients or growth-promoting components. The research will optimize cultivation and exposure conditions, quantify metal uptake by
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-474 Marie Curie Grant Agreement Number 101122653 Is the Job related to staff position within a Research Infrastructure? No Offer Description The field of combinatorial optimization is concerned with
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projects focusing on hPSC differentiation, and modeling neurodegenerative diseases. ● Standardize and optimize advanced molecular and imaging assays ● Analyze complex multi-omic or functional datasets
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of heterogeneous technologies are increasing the complexity of power delivery, thermal management, and energy optimization across the entire computing stack. Emerging technologies such as fine-grain 3D integration
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research. We are seeking a highly motivated research fellow to join our dynamic team
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computational tools (mainly in-house LBM code) for multiphysics simulations involving: heat transfer multiphase flows sorption kinetics The overall objective is to improve the understanding and optimization