80 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "NORTHUMBRIA UNIVERSITY" research jobs in Brazil
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knowledge and advanced transfer learning techniques. The methodology incorporates fundamental radar wave propagation equations into the diffusion process, allowing for more accurate and physically consistent
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Experience in machine learning, math, and programming. LanguagesENGLISHLevelGood Additional Information Work Location(s) Number of offers available1Company/InstituteUniverCountryBrazilState
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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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. 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
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be spent on items directly related to the research activity. More information about the fellowship is at: fapesp.br/oportunidades/9079 . Where to apply Website http://www.fapesp.br/oportunidades/9079
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, and purification of proteins. More information about the fellowship is at: fapesp.br/oportunidades/9108 . Where to apply Website http://www.fapesp.br/oportunidades/9108 Requirements Additional
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. Where to apply Website http://www.fapesp.br/oportunidades/9104 Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Brazil Eligibility of fellows: country
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about the fellowship is at: fapesp.br/oportunidades/9044 . Where to apply Website http://www.fapesp.br/oportunidades/9044 Requirements Additional Information Eligibility criteria Eligible destination