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particular, we want to use machine learning/deep learning to achieve this. Currently, a basic automatic optimization module that relies on machine learning has been developed and we want to take that module
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, and machine learning experience; and (c) some research publication experience. Knowledge of Arabic language is preferred, but not required. Previous work on Arabic NLP is preferred but not required
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SAF combustion. Recent advances have demonstrated that machine learning techniques, particularly neural networks, can significantly accelerate chemical kinetics computations. Nevertheless, most of
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or information and communication technology, 2) experience in teaching, 3) experience in machine learning, deep learning, particularly in the application of biomedical data processing, 4) experience in processing
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statistics and machine-learning–assisted approaches, in close interaction with data science collaborators Active collaboration across disciplines spanning spectroscopy, soft matter and nanomaterials
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experience working with frontend/backend web development, machine learning, or high performance computing would be desirable, as would any experience designing or delivering training courses. This post is
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include managing community courses, supporting and working with the Military Spouse Career Advancement Accounts (MyCM) program, working with the Army Credentialing program, generating new sources of revenue
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computer familiarity, keyboard skills, computer literate in programs such as Microsoft Word and Excel required Willingness to learn new computer programs as needed to sustain practice operations Preferred
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Heart Association CPR Certification Minimum of 03 months of recent experience working in a busy health care environment. Willingness to learn new computer programs as needed to sustain practice operations
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the use of large language models to support neural network design and data preprocessing. The position involves close collaboration with experts in cardiovascular simulation and Scientific Machine Learning