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of Biomedical Engineering and Imaging Sciences (https://www.kcl.ac.uk/bmeis ) is a cutting-edge research and teaching School dedicated to development, translation and clinical application within medical imaging
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interests, the work may include: Developing new models and methods for noise-driven wireless communication. Designing and evaluating low-power and low-complexity signaling schemes for future IoT and 6G
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and executing experiments, overseeing undergraduate researchers, and collaborating closely with the PI and other lab members in a fast-paced, discovery-driven environment. Responsibilities include: Lead
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Computational Postdoctoral Fellow (Quantitative Modeling Group) - 106785 Division: BE-Biological Systems & Engineering Berkeley Lab’s (LBNL, https://www.lbl.gov/) Biological Systems and Engineering
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placed on novel genes, for which our laboratory has generated multiple genetically engineered mouse models. We seek outstanding postdoctoral candidates with strong career potential to advance our
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simulation, and the integration of market design with power system planning and operation. Through analytical modelling, optimisation, simulation, and data-driven methods, the positions will contribute
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resilience planning for the Treasure Valley. Unit URL https://iwrri.uidaho.edu/ Position Qualifications Required Experience Experience working with quantitative analysis, modeling, or data-driven methods
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translational, impact-driven research. This role supports an awarded applied research project on cricket protein (CP)-based functional beverages, focusing on protein chemistry, emulsion engineering, scalable food
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of experimental protocols, software pipelines, and laboratory procedures • Contribute to data-driven approaches for predictive colloid science, including experimental design, data analysis, modelling, and machine
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
Selection Criteria: PD&PEWER_Academic B_Research Fellow.pdf About the opportunity This position is a fixed term for a period of up to 12 months to play a major role in building a model of hydrogen