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researcher to work on systems theory for energy-based learning. What are you going to do? As a postdoctoral researcher, you will develop and analyse new algorithms for energy-based learning of complex systems
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Organization U.S. Department of Energy (DOE) Reference Code DOE-CMEI-MEF-2027-Summer-Grad How to Apply To apply, click Apply at the bottom of this page. Connect with ORISE on the GO! Download the
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Organization U.S. Department of Energy (DOE) Reference Code DOE-CMEI-MEF-2027-Summer-Postgrad How to Apply To apply, click Apply at the bottom of this page. Connect with ORISE on the GO! Download
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
of microscopy, multiplexed immunofluorescence, spatial/protein imaging, or image-derived single-cell phenotypes. Machine learning, latent variable modeling, variational autoencoders, optimal transport, graph
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Requisition Id 17151 Overview: Oak Ridge National Laboratory (ORNL) is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver
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will closely interact with experts in microfluidics and bioinformatics, while spearheading the above project. Main duties and responsibilities include Optimization of single-cell sequencing workflows
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through data-driven modeling and optimization. The successful candidate will work at the intersection of thermal-fluid sciences, control theory, and artificial intelligence/machine learning to advance
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investigate out-of-equilibrium dynamics in high-dimensional disordered systems (including models relevant to machine learning and optimization) by characterizing the fixed points (metastable states, attractors
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, simulation, optimization, and advanced control. The position will play a key role in a major collaborative research effort focused on improving the energy and economic performance of advanced manufacturing
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The Role Applications are invited for a Postdoctoral Research Associate position in the Department of Engineering, with a focus on advanced solid oxide fuel cell (SOFC) modelling, three-dimensional