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on budget approval. In keeping with its access, excellence, and impact mission, The University of Texas at El Paso is committed to an open, diverse, and inclusive learning and working environment that honors
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on budget approval. In keeping with its access, excellence, and impact mission, The University of Texas at El Paso is committed to an open, diverse, and inclusive learning and working environment that honors
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on budget approval. In keeping with its access, excellence, and impact mission, The University of Texas at El Paso is committed to an open, diverse, and inclusive learning and working environment that honors
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Machine Learning; (ii) Big Data and Data Management; (iii) Computer Vision and Pattern Recognition; and (iv) Distributed Systems and Networking. These key research areas have a special thematic focus on (a
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What is Biogen’s PhD Fellowship? Biogen’s two-year Ph.D. fellowship in Worldwide Medical (WWM) provides recent doctoral graduates a hands-on opportunity to learn the ins and outs of medical affairs
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Helmholtz-Zentrum für Infektionsforschung GmbH | Braunschweig, Niedersachsen | Germany | 26 days ago
of German Experience in dynamic modelling of infectious diseases Laboratory methods for serology/ELISA (experience gained during MSc or BSc studies desirable) Knowledge on/ experience in Machine learning
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vibrant city center. This is where future experts and world-changing solutions are born. Learn more about us on our website – especially our research activities and curricula. Join us in building the
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of AI-supported coding assistance functions (e.g., suggestion models, highlighting of relevant text passages, active learning strategies) to accelerate coding while ensuring high quality. Systematic
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center of learning, innovation, and research. Pitt shares a campus with the world-class healthcare enterprise, UPMC. Collaboration between Pitt and UPMC results in an environment of interdisciplinary
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the field of frugal or green AI TECHNICAL SPHERE You have a proven experience in frugal, green or low-resource AI Strong grasp of deep learning architectures (CNN, RNN, Transformers, LLMs). Experience in fine