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JOB DUTIES Description UCLA Health is seeking an innovative Machine Learning Specialist to help shape the future of healthcare through artificial intelligence. This role drives the development and
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implementation of machine learning models for health analytics projects, focusing on early detection of Alzheimer’s using health and financial data, and building deep learning models to detect fake images, audio
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Investigator within the Chemistry Department at Brandeis University and perform a wide range of specialized computer simulations to support research goals and projects in the field of Computational Chemistry and
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(History, Archeology, …). Expected skills: The candidate should have a graduate degree (Master 2 degree). His/her scholar background should include: • statistical/machine learning, statistical inference
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and machine learning to establish a modeling framework that uses omic data for providing effective degradation rates of biomolecules and predictions of their impact on soil organic matter turnover
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computing, and database development and management. Background in computational modeling and machine learning. Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully
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: Bayesian Machine Learning – Led by Dr Thang Bui, this project focuses on sequential decision-making and bridging deep learning theory and practice. Applicants with expertise in probabilistic modelling
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, integrity, and optimal integration across diverse data sources. Conduct comprehensive data analyses, including standard statistical methods, advanced predictive modeling, machine learning techniques, and
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evaluations in controlled environments. Essential Function Yes Percentage of Time 10 Job Duty Continuous Learning and Innovation Stay up-to-date on emerging AI models, frameworks, and best practices
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groups led primarily by Professor Tarek Abdoun and Professor Mostafa Mobasher. It involves a diverse range of activities including: structural and geotechnical modeling, machine-learning model development