82 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" Postdoctoral 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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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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(FCT-UNESP) in Presidente Prudente – but the selected candidate must be open to working and communicating with all researchers on the team (see https://bv.fapesp.br/en/auxilios/118867 ) The selected
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on eligibility and benefits is available at: https://fapesp.br/en/postdoc . More information about the fellowship is at: fapesp.br/oportunidades/8978 . Where to apply Website http://www.fapesp.br/oportunidades
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. International experiences obtained during undergraduate or master’s studies will not be considered. Required Documents (submitted exclusively via online form): https://forms.gle/sLQoPsXYV5dRM8VG9 a. Curriculum
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your experience in the field. For more information, please access the complete call for applications at https://gbdi.icmc.usp.br/projects/ihealth_md/ . More information about the fellowship is at
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, including a FAPESP-style CV summary , postgraduate transcripts, and a cover letter (up to 1,500 words). Check the call: https://www.labcidade.fau.usp.br/postdoctoral-fellowship-mapping-legal-risks-in-eviction
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learning and community engagement in conservation. Requirements: PhD completed; fluency in English; experience with qualitative methods; experience with and availability for fieldwork, in accordance with
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Foundation (FAPESP), and combines statistical analysis, spatial methods, and qualitative research. Georeferenced data from the Military Police and the Municipal Secretariat of Urban Security will be used