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data-driven methodologies to encourage sustainable lifestyle choices, optimizing large language models to influence consumer preferences towards sustainable products, and leading the creation and
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Job Description The selected Research Fellow is required to work on a research project related to big data driven vessel risk profile estimation and classification using Artificial Intelligence (AI
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decision optimization, big data analytics, risk control, and neural network generative models to enhance resilience in various systems and processes. The role involves both theoretical development and
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disciplines of machine learning and artificial intelligence to develop multimodal large language models with capabilities such as conversational information retrieval, multimodality sensemaking, question
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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disciplines of machine learning and artificial intelligence to develop multimodal large language models with capabilities such as conversational information retrieval, multimodality sensemaking, question
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large-scale predictions and recommendations from these information. This position is for a Research Assistant who will contribute to this project in terms of developing the data collection functionality
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, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and
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large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information
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disciplines of machine learning and artificial intelligence to develop multimodal large language models with capabilities such as conversational information retrieval, multimodality sensemaking, question