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into the School’s activities. We are particularly interested in candidates with expertise in Digital Health and AI in Medicine, including machine learning (especially deep learning), natural language processing, and
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problems, statistical learning and machine learning (machine learning, deep learning) - Knowledge of associated software development tools and environments: Python, PyTorch, Scikit-learn, Jax, Julia
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data sheets and computer knowledge of Microsoft Excel. Preferred Qualifications Bachelor’s degree in biology or related field preferred and an interest in biology, and/or scientific/technical laboratory
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distributed wireless systems" which is conducted in collaboration between Linköping University (LiU) and Lund University (LU). Read more here: https://elliit.se/project/machine-learning-for-sensing-in
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following areas: Strong foundation in machine learning, optimization, and deep learning algorithms, including Transformer architectures. Hands-on experience or solid theoretical knowledge of LLMs/SLMs
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comparable, relevant field of study Understanding of the fundamental concepts and techniques of Artificial Intelligence (AI) and Machine Learning (ML) Knowledge in specific AI application areas such as Natural
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date); Good knowledge of analytical methods and/or numerical simulations; Very good command of English, both written and spoken. Essential skills and abilities Experience in machine learning; A strong
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Non-credit instructors needed to teach various Executive Education courses. Successful Applicants will instruct courses in the field of business and related subjects. Courses will be offered in a range
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InDesign, Photoshop) and Microsoft Office Suite (Word, Excel) Additional Information Familiarity with technology and willingness to learn Basic knowledge of accessibility standards (WCAG 2.1 AA) or prior
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equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience 0 yrs Required License/Registration/Certification One of the following: 1. State Registered Nurse Assistant (SRNA