78 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" Postdoctoral research jobs in Brazil
Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
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
-
Experience in machine learning, math, and programming. LanguagesENGLISHLevelGood Additional Information Work Location(s) Number of offers available1Company/InstituteUniverCountryBrazilState
-
involve developing an approach that uses Knowledge Organization (KO) metadata and ontologies to optimize parallel processing and scheduling policies (via Kubernetes) for Machine Learning tasks. The fellow
-
available for full-time dedication. How to apply: Applications must be submitted by April 30, 2026, via email to cpodv.fflch@usp.br (copy to megiani@usp.br ). For full details, please visit: https
-
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
-
. Familiarity with frameworks such as TensorFlow and Keras, as well as libraries including Scikit-learn, NumPy, and pandas; - Experience with machine learning models such as Extreme Learning Machine (ELM
-
% 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
-
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
-
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
-
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