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Kunsthistorisches Institut in Florenz - Max Planck Institute, Berlin, Germany | Germany, | Germany | 3 months ago
, artificial intelligence, the digital transformation, and the future of museums. 4A_Lab connects disciplines, collections and institutions. It attempts to foster dialogue and exchanges between disciplines, and
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. Expertise in artificial intelligence and machine learning. Recent research experience in the development of first-principle wave models. Recent research experience in the development of numerical codes
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at business location) Position Description Position Summary The James Silberrad Brown Center for Artificial Intelligence (JSB AI Center) seeks a full-time Research Fellow to play a central role in advancing its
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credentials. Required qualifications: Applicants must hold a degree equivalent to a Norwegian doctoral degree in robotics, computer science, artificial intelligence, or other relevant fields. The applicant is
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 18 days ago
artificial intelligence applications in drug development. You will gain experience researching advanced in silico prediction algorithms, analyzing machine learning approaches for toxicity pattern recognition
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will join Andrej Prša’s research team and work on the PHOEBE code , developing the modeling proxy based on artificial intelligence (AI). The goal of the AI-powered model is to enable the autonomous
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A postdoctoral fellow position is available in Haiming Cao’s laboratory in the Cardiovascular Branch of the National Heart, Lung, and Blood Institute (NHLBI), NIH. The Cao lab integrates artificial
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research centers. We are strategically committed to fostering high-impact research across a variety of disciplines, with established centers dedicated to fields like Big Data, Cyber Security, Artificial
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and weaknesses for end-users. Help develop new or improve existing soil moisture estimates using NISAR and other datasets utilizing artificial intelligence (AI) and machine learning. The outcome from
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science and artificial intelligence to understand the time-course of naturalistic scene understanding. We are especially excited about applicants who enjoy: (1) working with large, real-world datasets, (2