87 machine-learning "https:" "https:" "https:" "University of St" positions in Brazil
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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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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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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
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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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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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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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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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the analysis and monitoring of detected events within the continuous monitoring of the SIN. The fellow will be based at the State University of Campinas's Faculty of Electrical and Computer Engineering (FEEC
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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