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expertise in data analysis, machine learning, deep learning, natural language processing, big data, quantitative analysis, and data visualization, as well as proficiency in relevant programming languages and
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(Wissenschaftszeitvertragsgesetz - WissZeitVG). The position offers the chance to obtain further academic qualification (usually PhD). The project: We are seeking motivated researchers to join our international team
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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 workforce needs
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limited to, deep reinforcement learning, federated learning, deep learning and meta learning. The overall aim is to improve the efficiency in cyber-physical systems, such as drone swarms, that support 5G
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at the forefront of medical science, and educators to advance learning. We are proud to be part of progress, working together with the communities we serve to share knowledge and bring greater understanding
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of the university to advance knowledge and learning at the highest level and to convey the products of its efforts to the world. Connections working at Columbia University More Jobs from This Employer https
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of machine learning for healthcare and related topics Deep knowledge of multi-modal learning, transfer learning, foundation models, and self-supervised learning. Experience in dealing with large
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) faculty are committed to enhancing student success by engaging students in quality academic instruction, research, internships, global studies, and other experiential learning opportunities. There is an
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) faculty are committed to enhancing student success by engaging students in quality academic instruction, research, internships, global studies, and other experiential learning opportunities. There is an
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of computer science, artificial intelligence, and biomedical research. Your profile Master's degree in computer science or related discipline Experience with Python and recent deep learning frameworks (e.g. Pytorch