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extreme weather forecasting, employing data science models as developed in computer vision and natural language processing (NLP). This project leverages the large-scale high-performance computing (HPC
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understanding how climate change weakens snow and ice. Combining analytical, numerical, and experimental methods, the project will improve predictions of material failure and avalanche risk, contributing to more
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA INDUSTRIALE | Italy | 17 days ago
Description The project aims to develop, validate, and apply original models and methods for the design, management, and optimization of material-handling solutions and four-way shuttle-based automated storage
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over time. Develop projects aligned with your expertise, including computational phenotyping using natural language processing and large language models; germline genetic analyses, including GWAS, HLA
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responsible for working closely with the Principal Investigator on one or more research projects: Conduct research on large language models (LLMs). This includes developing and evaluating LLM methods (e.g
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using a stable light-isotope-ratio mass spectrometer (IRMS), and model experimental data. Responsibilities also include preparing manuscripts based on research findings and performing routine maintenance
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, imaging, and in vivo approaches. Provide expertise in experimental (mouse) models of urinary tract infection and associated epithelial, immune, and inflammatory responses. Support studies utilizing primary
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. In this PhD project, you will investigate foundation models for automotive imaging radar. The goal is to learn general radar representations from largely unlabelled data that can generalize across
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interface that interacts with a DL model and/or LLM at the backend; (c) explore and recommend new AI technologies; (d) compile presentation materials and write reports; and (e) perform any other
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agency materials. Assists in preparing presentations for the Board of Trustees and Finance Committee including helping to develop new reporting models Use the University’s Treasury Management system