71 machine-learning "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" research jobs in Brazil
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Science, Computer Engineering, or a related field, completed before the fellowship start date. Candidates should demonstrate experience in at least two of the following areas: compilers, parallel programming
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to apply Website http://www.fapesp.br/oportunidades/9196 Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Brazil Eligibility of fellows: country/ies
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to apply Website http://www.fapesp.br/oportunidades/9197 Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Brazil Eligibility of fellows: country/ies
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: Artificial intelligence applied to seismics, neural networks, machine learning, synthetic data generation, seismic inversion, geological CO2 storage. Abstract: This research project aims to develop a synthetic
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in Amazonia and background on meteorology, chemistry, biology and environmental physics is desirable. For more details access the link with the full proposal: https://1drv.ms/b/c/87b35e20128a7567
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preparation for use in AI models; - Experience with explainability techniques for Machine Learning models; - Desirable experience with system modernization. To apply, send an email with the subject “Inscrição
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http://www.fapesp.br/oportunidades/9131 Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Brazil Eligibility of fellows: country/ies of residence: All
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http://www.fapesp.br/oportunidades/9137 Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Brazil Eligibility of fellows: country/ies of residence: All
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). Full-time dedication required. Application: send motivation letter and CV. More informastion about the fellowship is at: fapesp.br/oportunidades/9140 . Where to apply Website http://www.fapesp.br
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. Full call for applications: https://drive.google.com/file/d/1S2g1B6UWyTH0mc5vA75o5cTG2-e2zr1p/view?usp=sharing . This opportunity is open to candidates of any nationality. The selected candidate will