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in the CV; b) Background and vocation for the design and development of large language models based on deep learning and capable of multimodal processing - information available in the cv and
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. Learning Objectives: Develop deep expertise in the principles and practices of scientific and medical communications. Understand the strategic role of communications in product lifecycle management. Gain
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About the Opportunity About the Opportunity Northeastern University Pharmaceutical Industry Fellowships Program is a two-year experiential program designed to advance lifelong learning and the
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of directly related experience. Knowledge / Skills / Abilities Knowledge Deep understanding of evidence-based teaching and learning practices across multiple modalities. Knowledge of faculty pedagogical
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a two-year experiential program designed to advance lifelong learning and the education and training of Pharm.D. graduates. A key element of the program's success is preparing Fellows to meet evolving
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responsibility, and a deep commitment to genuine care and respect for our community. Find out more about our vision for a truly inclusive workplace in our Diversity, Inclusion and Belonging Framework . Flexible
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About the Opportunity About the Opportunity Northeastern University Pharmaceutical Industry Fellowships Program is a two-year experiential program designed to advance lifelong learning and the
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-depth study of existing approaches to AI-based water leak detection and prediction, including classical methods and modern deep learning techniques. 2) Requirements survey Identification of the technical
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degree in mathematics, strongly encouraged to apply. Experience and demonstratable knowledge in deep learning and one or more of the following: transformer networks, implicit neural functions, graph neural
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PhD in Computer Science, Engineering or other Machine Learning-related field. • Programming experience in python, C++ or other relevant language and experience in deep neural networks • Strong