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Requisition Id 16540 Overview: We are seeking a Postdoctoral Research Associate who will develop and apply computational methods based on electronic structure theory and artificial intelligence
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for self-driving and/or human-in-the-loop experiments; (3) computer vision for extracting complex patterns, structure, and meaning from images and/or volumes; and (4) new mathematics and algorithms leading
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of applying a wide variety of scientific principles and theories. 4. Maintains substantial knowledge of state-of-the-art principles and theories. 5. Develops advanced analytical models and systems and provides
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Post-Doctoral Associate to conduct research in solid-state nuclear magnetic resonance spectroscopy, materials synthesis, computational chemistry, and advanced structural characterization of functional
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independently and collaborate within a team structure Knowledge of plant breeding and selection theory Preferred Qualifications: Experience with herbicide tolerance and selection in breeding programs Supervisory
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ATLANTIS team led by Dr Francisco J. Rodríguez-Fortuño. ATLANTIS investigates new physics and applications of optical and acoustic near-fields by challenging conventional assumptions about wave structure
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among migrant workers and in the platform ecosystem in Finland to examine how labour evolves in a transformed landscape of data-driven realities, how hierarchical power structures influence labour agency
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 21 hours ago
. The first two recommendations received will be attached to your application for review by NETL. You may click the "send" (paper airplane) button to send the recommendation request email immediately after
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Position Description We invite applications for a joint postdoctoral position in particle theory phenomenology between Cornell University (Ithaca, NY) and the Weizmann Institute of Science (Israel
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: refining the project’s research questions, interview protocols, coding frameworks, and analytic approaches; leading one or more strands of data collection and analysis, including semi-structured interviews