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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 9 hours ago
Medical School Department of Molecular, Cell and Cancer Biology 364 Plantation Street, LRB Room 619 Worcester, MA 01605 Further details about the Wolfe laboratory can be found at: https://www.umassmed.edu
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institute for natural and engineering sciences within Switzerland. We perform cutting-edge research in the fields of future technologies, energy and climate, health innovation and fundamentals of nature. By
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian Multi-Energy System & Grids Team is looking for a Research Fellow in
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for a research engineer with the experience and knowledge to independently perform experimental work related to human cell reprogramming and to conduct both in vitro and in vivo studies in animal models
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prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 6 days ago
. The position is located within the Crawford School of Public Policy at the Australian National University. The position works closely with the Centre for Climate and Energy Policy (CCEP) within the Crawford
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Are you interested in sustainable energy transition and eager to work on academic research with practical implications? Do you want to model human interaction behavior and the willingness to adopt
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models for efficient coupling; and (3) analysing simulation and surrogate outputs to validate and refine the framework. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml
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and moved by laser-based optical tweezers in a closed action–perception loop. Your work will help transform current observation-only live-cell imaging microscopy into actively controllable, automated
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molecular simulations, and cutting-edge AI techniques including graph neural networks (GNNs) and large language models (LLMs) to accelerate experimental design and discovery of novel materials. The research