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(e.g. deep learning, language models and responsible AI). Minimum Qualifications PhD or other doctoral degree in biostatistics, statistics or strongly related field. Record of high-quality scientific
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success. Candidates should demonstrate (1) a mastery of their specific discipline; (2) a deep commitment to the college mission of fostering student success, achievement and persistence; (3) technology
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) a deep commitment to the college mission of fostering student success, achievement and persistence; (3) technology competencies as well as teaching/counseling skills and strategies that facilitate
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Entrepreneur Partnerships Posting Number R260049 Posting Link https://www.ubjobs.buffalo.edu/postings/61677 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary
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position as Senior Lecturer. Optimization, machine learning, and control theory together form a central toolbox for understanding, analyzing, and controlling complex systems. These fields span deep
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Health Prevention: Investigate how LLMs associated with deep learning can be used to identify early signs of mental health disorders by analyzing digital diaries, questionnaires, voices features, physical
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collaborations in areas such as healthy living, transport, green energy, and advanced manufacturing. The role requires strong hands-on technical skills in modern AI, including deep learning, LLMs, Agentic AI, and
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and memory, and with the design and implementation of cutting-edge data analysis pipelines that use deep learning to reconstruct perceived information from functional MRI in real time. For more
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Engineering, Mechatronics, Computer Science, etc. Strong background in AI, Large Language Model, autonomous driving, deep learning, interaction modelling, prediction, robotics and automation. Candidates having
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a pivotal role in the Community Engagement team, in engaging the Tasmanian community to build connection with the University and inspire life-long learning. This role is responsible for the planning