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Field
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experiments, natural language processing, and network modeling. Experience mentoring students. Expertise in Python and TensorFlow. Proficiency in R, SQL for data analysis and visualization. Preferred
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modelling, and advanced regression techniques, ensuring transparency and reproducibility. Use and maintain high standards of coding practice for data processing and analysis, preferably using R, including
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experience in remote sensing and GIS, strong programming skills (Python, R or similar), and an international publication record. Experience with machine learning and cloud computing will be considered an asset
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nationality. The selected candidate will receive a FAPESP Post-Doctoral fellowship in the amount of R$ 12,570.00 monthly and a research contingency fund, equivalent to 10% of the annual value of the fellowship
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. The selected candidate will receive a Post-Doctoral fellowship from the São Paulo Research Foundation (FAPESP) in the amount of R$ 12,570.00 monthly and a research contingency fund, equivalent to 10
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of 2 pages) highlighting experience related to the project area; - Curriculum Vitae (CV). Fellowship: R$ 12,570.00 per month (granted by FAPESP, the São Paulo Research Foundation) + Technical reserve
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of any nationality. The selected candidate will receive a Post-Doctoral fellowship from the São Paulo Research Foundation (FAPESP) in the amount of R$ 12,570.00 monthly and a research contingency fund
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(77.74 KB - PDF) Download Additional Information Benefits The fellowship includes a tax-free monthly payment of R$ 12,570.00 (about US$ 2,351.83) for two years (with the possibility of renewal
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for large relational databases using SAS, R, Python and/or SQL. Demonstrated oral and written communication skills, and the ability to present scientific findings in various formats and to compose manuscripts
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therefore be involved in R&D related to TES4DM low-voltage cryogenic detector technology, including its development, assembly, and operation on IP2I's CRYORED cryogenic platform, and will be required to adapt