MICLab | CEPID BRAINN https://www.brainn.org.br/en powered by FAPESP Thu, 23 Jul 2020 21:13:39 +0000 en-US hourly 1 https://www.brainn.org.br/wp-content/uploads/2020/05/cropped-CEPID-BRAINN-favicon-32x32.png MICLab | CEPID BRAINN https://www.brainn.org.br/en 32 32 Opportunity: Postdoctoral Fellowship in Medical Image and Data Analysis using Machine Learning https://www.brainn.org.br/en/oportunidade-bolsa-de-pos-doutorado-em-analise-de-imagens-e-dados-medicos-utilizando-machine-learning/ https://www.brainn.org.br/en/oportunidade-bolsa-de-pos-doutorado-em-analise-de-imagens-e-dados-medicos-utilizando-machine-learning/#respond Thu, 23 Jul 2020 21:13:39 +0000 https://www.brainn.org.br/?p=12304 The Medical Image Computing Lab at Unicamp has an opportunity for students interested in machine learning and medical image analysis. 23rd of july, 2020  |  We are looking for talented candidates with innovative ideas to develop, implement, disseminate and evaluate machine learning (ML) techniques in the analysis of medical images and image-related data. The position […]

The post Opportunity: Postdoctoral Fellowship in Medical Image and Data Analysis using Machine Learning first appeared on CEPID BRAINN.]]> The Medical Image Computing Lab at Unicamp has an opportunity for students interested in machine learning and medical image analysis.

23rd of july, 2020  | 

We are looking for talented candidates with innovative ideas to develop, implement, disseminate and evaluate machine learning (ML) techniques in the analysis of medical images and image-related data. The position is part of the Project “Computational tools for the diagnosis, detection and prognosis of COVID-19: analysis and development of methods using deep convolutional networks with computed tomography data”. The project is being funded by CAPES.

The research will be developed at the Medical Image Computing Lab (miclab.fee.unicamp.br), University of Campinas (UNICAMP), Brazil. The laboratory has an excellent infrastructure and the work will be conducted in a highly interdisciplinary research group.

For more information, follow the link below:

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