78 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" Postdoctoral positions in Brazil
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publications abd advanced English proficiency. Experience in student supervision is desirable. Candidates must also meet the eligibility criteria for FAPESP post-doctoral fellowships (see https://fapesp.br/en
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fellowship is at: fapesp.br/oportunidades/9189 . Where to apply Website http://www.fapesp.br/oportunidades/9189 Requirements Additional Information Eligibility criteria Eligible destination country/ies
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(with email and/or phone). Use the subject line: “PostDoc Remote Sensing”. Applications should be sent to edson.bolfe@embrapa.br by April 30, 2026. Where to apply Website http://www.fapesp.br
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and Supply (SAASP). Duration: 36 months (full-time) Expected start: April 2026 (flexible) How to apply Applications should be submitted only through the Google Form: https://docs.google.com/forms/d/e
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directly related to the research activity. More information about the fellowship is at: fapesp.br/oportunidades/9229 . Where to apply Website http://www.fapesp.br/oportunidades/9229 Requirements Additional
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learning-based segmentation, multimodal image fusion, and radiomic feature extraction to construct clinically relevant prognostic models. Conducted at the Heart Institute (InCor) of Hospital das Clínicas
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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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/oportunidades/9200 . Where to apply Website http://www.fapesp.br/oportunidades/9200 Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Brazil Eligibility
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information about the fellowship is at: fapesp.br/oportunidades/9204 . Where to apply Website http://www.fapesp.br/oportunidades/9204 Requirements Additional Information Eligibility criteria Eligible