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to industry and developments with Deep Learning (DL), Computer Vision (CV), Transformers, Large Language Models (LLMs), Natural Language Processing (NLP). Mandatory requirements • Bachelor's degree
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machine learning algorithms to support the traceability of the beef’s geographical origin. She/he will participate in all stages of the project, including planning and supervision of sample collection and
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for analytical processing, such as data lakes, data warehouses, and lakehouses. Desirable requirements - Experience in developing and implementing data platforms; - Knowledge of data engineering tools and
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datasets; 3. To provide a reproducible minimal web demonstrator, notebook, or dashboard, with code and documentation made available in an open repository, so the analytical workflow can be adapted to other
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well as in the operation of analytical instruments for the structural characterization of nanostructures. The candidate must have a PhD in Physics, Chemistry or Materials Engineering (or related). How to apply
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, engaging with financial institutions that drive the expansion of rural credit. Additionally, they will develop an original analytical framework based on a comparative matrix of research data regarding
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data and deep learning methods to assess canopy cover, quality, carbon stocks, and ecosystem services. Mandatory requirements: PhD in areas related to forest resources, remote sensing, data science, or
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, and machine learning; and the development of ecological indicators for environmental monitoring in the Campos and Santos Basins, Brazil. Mandatory requirements Applications from people with training in
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-doctoral fellowship in person in São Paulo, Brazil. Fluency in English. Basic knowledge of statistics and willingness to learn how to conduct systematic reviews and meta-analyses. Previous experience in
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networks, from a machine learning and information theory perspective. This basic research project has strong translational potential and aims to elucidate how immune function is altered during sepsis, with