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Internal Number: 369104 A funded postdoctoral position with an emphasis on studying the synaptic mechanisms of cognitive motor learning is available immediately in the laboratory of Dr. Aaron Kerlin
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-reconstructions and observations, low-order data assimilation, or deep neural networks. A quantification of the impact of mesoscale and submesocale features is also expected. At a later stage, the successful
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. Topic / Area: The positions are flexible in terms of research direction within 3D vision and graphics with a heavy focus on cutting-edge deep learning-based techniques. We are particularly interested in
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diffraction (XRD) and Rietveld refinement. Hands-on experience with electrochemical characterization techniques (CV, EIS, GITT, galvanostatic cycling). Deep understanding of Li-ion battery cathode materials
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responsible for building a simulator that allows researchers to see the response of their proposed mutations at DNA, RNA and protein levels. The candidate should have a deep understanding of the central dogma
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knowledge of X-ray diffraction (XRD) and Rietveld refinement. Hands-on experience with electrochemical characterization techniques (CV, EIS, GITT, galvanostatic cycling). Deep understanding of Na-ion battery
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2025. We seek to recruit a Research Associate specialising in statistical modelling and machine learning to join our multi-university multi-disciplinary team developing a groundbreaking technique based
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of LLRNs is therefore a key issue in guaranteeing the long-term safety of deep geological waste disposal. Quantifying long-lived radionuclides generally involves chemical separation steps to remove
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
generation and Q&A/dialogue, and interpretable and generalizable deep learning. The duties of the postdoctoral scholar will include aiding the research of graduate students on NLP+ML projects and leading
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years with a possibility of extension, see below). The project is led by Laur Kanger, Professor of Sustainability Transitions and co-author of the Deep Transitions framework (see here , here and here