83 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" research jobs in Brazil
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research contingency fund, equivalent to 10% of the annual value of the fellowship which should be spent on items directly related to the research activity. Where to apply Website http://www.fapesp.br
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be spent on items directly related to the research activity. Where to apply Website http://www.fapesp.br/oportunidades/9344 Requirements Additional Information Eligibility criteria Eligible destination
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digital collections; references to up to five recent publications and/or presentations (last three years) demonstrating expertise in the relevant topics. See more: https://www.acervosdigitais.fau.usp.br
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% of the annual value of the fellowship which should be spent on items directly related to the research activity. Where to apply Website http://www.fapesp.br/oportunidades/9299 Requirements Additional Information
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the research activity. Where to apply Website http://www.fapesp.br/oportunidades/9294 Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Brazil Eligibility
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the research activity. Where to apply Website http://www.fapesp.br/oportunidades/9303 Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Brazil Eligibility
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. Requirements: PhD completed less than 7 years ago in Computer Science or related areas; experience in machine learning and data science (supervised/unsupervised models, recommendation and evaluation/robustness
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Python and R; - Demonstrable experience with Machine Learning; - Excellent problem-solving skills and the ability to work both independently and as part of a team. This position is for full-time, on-site
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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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requirements: Background in water resources management, water, and public health. How to apply: Send to nardocci@usp.br : 1) CV, 2) letter of interest, 3) letter of recommendation. Where to apply Website http