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modern programming languages Experience with data science, machine learning, statistical modeling, and real-time analysis frameworks Experience working within collaborative coding environments, version
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Description Completion of doctoral thesis related to: Process and analyze experimental data. Develop predictive models using deep learning. Train, validate, and optimize neural networks (CNNs, etc.) applied
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and machine learning. Topics of interest in this area include, but are not limited to: natural language processing, large language models, graph learning, prompt engineering, knowledge graphs, knowledge
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California State University, San Bernardino | San Bernardino, California | United States | about 6 hours ago
at business location), Unit 15 - CSUEU - Student Assistants Work Study: Federal Work- Study Student Information: https://www.csusb.edu/financial-aid/prospective-current-students/federal-work-study/federal-work
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constraints such as electromagnetic interference (EMI), thermal stability, and mechanical durability. In parallel, the project will refine and optimize existing machine learning models for fault detection and
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- 4 Additional Information Eligibility criteria Required skills: strong experience in TVB modeling, experience in fitting models to human data, strong level of autonomy, solid knowledge of machine
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coupled hydrological and groundwater modelling, combined with machine learning techniques, will quantify groundwater recharge and groundwater resilience. Your responsibilities: Analyse the dynamics
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, including machine learning/AI models, for complex biological datasets underlying disease systems. * Collaborate with world-class immunologists and computational scientists across the University, developing
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for vehicle applications; Abilities in using Finite Element modeling and analysis; Knowledge of injury biomechanics; Knowledge of Artificial Intelligent (AL) and Machine Learning (ML) techniques; and Abilities
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new knowledge with a clear academic and social impact, in fields such as AI-enhanced translation workflows, Neural machine translation, large language models, or multilingual NLP, Multimodal and