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. The Department of Computer Science is home to a dynamic and interdisciplinary group of 30+ full-time faculty members and over 2000+ students across its BS, MS, and PhD programs. The department is committed
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explainable multi-modal deep learning models, in causal statistical models and in human-machine teaming and AI ethics. The successful candidate will need to be eligible for UK security clearance in principle
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knowledge of deep learning and computer networking/systems is required Experience with AI as a platform and expert use of AI as a tool strongly desired Experience implementing a language model is a plus Refer
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insurance, retirement plans, and paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link: https://resources.uta.edu/hr/services/records
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mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us
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of algorithm-hardware co-design, especially for robotics or edge AI deployment. Strong programming skills in C, C++, and Python, with experience in deep learning frameworks such as PyTorch or TensorFlow
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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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the requisite experience. Desirable: B1 An awarded (or recently submitted or near completion) PhD in subject specialism or equivalent. B2 Experience with high dimensional statistical, machine learning and deep
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. Broward College places special importance on helping under - prepared students achieve academic success. Candidates should demonstrate (1) a mastery of their specific discipline; (2) a deep commitment to
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model we deploy and support the ecosystem with training, advisory, and AI infrastructure. CeADAR is seeking a data scientist with solid experience in machine and deep learning research and development