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, Extensive experience in building Neural Network models and a solid foundation in mathematics. Technical proficiency in Python, C, or C++, and familiarity with Tensorflow Lite/Micro, Pytorch. Experience in
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atmospheric chemistry, air quality, and model development. Basic Qualifications: Ph.D. in atmospheric science and substantial experience in modeling of atmospheric composition. Additional Qualifications
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in the CV; b) Background and vocation for the design and development of large language models based on deep learning and capable of multimodal processing - information available in the cv and
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collaborative and interdisciplinary environment. For more information about the exciting work we do, check out our publications (https://bhattacharya-lab.faculty.unlv.edu/publications/). Key Responsibilities
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data exploration and processing; Knowledge of Generative AI models n mainly LLM's; Knowledge of satisfaction model analysis. Workplan and objectives to be achieved: The work plan aims at the development
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from academic degree recognition processes. Preferred factors: Knowledge of Machine and Deep Learning; Knowledge in data exploration and processing; Knowledge of Generative AI models n mainly LLM's
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of Alabama is seeking candidates for a Postdoctoral position. This position is available to individuals with research interests and expertise in modeling and data analyses of hydrologic processes. The College
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make use of knowledge of data modelling, data storage and data processing. Support in the data modelling component, for the definition of the Domain Reference Model, is required. Work collaboratively and
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mixed-methods approach, including quantitative and qualitative data collection, fidelity assessment, and economic modelling. The Research Fellow will work closely with project partners (i.e. Bolton City
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, specifically large language models (LLMs), and general-purpose AI become more ubiquitous, they introduce novel and complex attack surfaces. Your mission will be to proactively investigate these vulnerabilities