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model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised
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AI/ML models for predicting materials properties using data-driven approaches, including the treatment of disordered inorganic materials. Develop codes as necessary to assist existing and new code
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(e.g., SEM path analysis models, growth modeling, latent class analysis, multilevel models), experience with multiple methods (e.g., observational; qualitative; intervention research), and strong writing
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model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 23 days ago
student in the scope of the: PROMOTE-BIO- Advancing Personalized Shoulder Medicine through Automated Biomechanical Modeling: A Proof of Concept in Glenohumeral Osteoarthritis with the financial support of
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Singapore’s AI-for-Science ecosystem. The candidate is expected to conduct the following research works Develop and validate finite element model of protonic ceramic electrolysers (PCECs) Develop generative AI
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extensive experience of python programming, deep neural network analysis, and large language models. Ability to work independently and generate innovative, out-of-the-box research ideas. Ability to work
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the Department). The position is financed by the University of Bergen. About the project/work tasks The PhD project aims to investigate how methods from Scientific Machine Learning (SciML) can enhance modelling
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instrumentation, Near-real-time receptor modelling, Background sites The Research Group of Aerosol Chemistry and Physics focuses on better understanding the behaviour of atmospheric aerosols (AA). One of the areas
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 13 hours ago
optimization algorithms and/or machine learning models for complex systems or real-world applications Experience with large-scale optimization or deep learning systems is highly desirable Duties and