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/electrolyte interfacial structure-property relationships to gain deeper insights into material behavior. Develop innovative approaches to minimize cell polarization by precisely controlling electrolyte
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
seeking a postdoctoral researcher to contribute to our dynamic research team. Specifically, this position will have 100% effort dedicated to the Cancer Identification and Precision Oncology Center (CIPOC
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of terminal degrees in any relevant academic discipline with potential to contribute to atrocity prevention. I-GMAP's broad conception of atrocity prevention encompasses "upstream" or structural issues
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expertise in large language models (LLMs) and electronic phenotyping to join our dynamic team focused on advancing cancer research through innovative data-driven approaches in the Cancer Data Science Core
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
seeks a motivated and talented Postdoctoral Research Associate to join our team. Our lab focuses on understanding the biological events responsible for dynamically regulating the selective expression of
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. Applications will be accepted until the position is filled. Job profile The successful candidate will train recurrent neural networks to learn the generative structure of existing behavioral, EEG and MEG data
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
G-protein-coupled receptors (GPCRs), membrane-embedded proteases, RNA-binding proteins and RNA. In collaboration with world-leading experimentalists in pharmacology, structural biology, biochemistry
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participate in the university's self-administration and the structural tasks of the institute. You will be actively supporting our EV Powertrain team, which focuses on research related to high-voltage batteries
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estimate. This will mainly rely on the construction of optimal control strategies associated to the large deviation principle of the system. The project is a collaboration between WIAS (Research Group