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less than 7 years ago. Desirable requirements: - Proficiency in the R programming language; - Ability to read French; - Familiarity with the main Brazilian and São Paulo State statistical databases. How
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Information Science, Communication Sciences, Computer Science, or related fields (obtained within the last 7 years). A solid theoretical foundation and research experience in Knowledge Organization (KO) focused
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Aesthetics, Art History, Design, and/or Languages and Communication; residence in the state of São Paulo (Brazil). Desirable requirements: Hybrid expertise in Social Sciences and Information
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the environment, including: i) Knowledge of programming languages (e.g., Python and/or R); ii) Ability to work in an interdisciplinary team; iii) Good oral and written communication skills; iv) Strong
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. Familiarity with frameworks such as TensorFlow and Keras, as well as libraries including Scikit-learn, NumPy, and pandas; - Experience with machine learning models such as Extreme Learning Machine (ELM
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essential for patient care and direct communication. Requirements: - Bachelor's degree in a Life Sciences field and PhD defended within the last seven years in Molecular Biology or Medical Physiopathology
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advanced compilation techniques for scientific and AI applications on heterogeneous GPU clusters. Research topics include scheduling, memory management, communication–computation overlap, and performance
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advantageous. Strong English communication skills are required. Duration: 48 months. Fellowship: FAPESP Post-Doctoral Fellowship (R$ 12,570/month + 10% technical reserve exclusively for research-related expenses
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-learn); familiarity with data engineering and infrastructure (PostgreSQL and/or NoSQL, REST APIs, Docker, Git). Differentials: large language models, AI agents and/or semantic databases/graphs. Position
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(FCT-UNESP) in Presidente Prudente – but the selected candidate must be open to working and communicating with all researchers on the team (see https://bv.fapesp.br/en/auxilios/118867 ) The selected