38 algorithm-development-"Newcastle-University"-"Newcastle-University" positions in Brazil
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to be developed by the postdoctoral researcher will focus on proposing an innovative approach based on semantic segmentation with deep neural networks for the identification of multiple facies classes in
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Foundation (FAPESP, Grant nº 2024/15681-8), under the supervision of Prof. Dr. Carlos Eduardo Paiva. The project investigates postmenopausal luminal breast cancer (HR+/HER2-) and aims to develop predictive
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State University (UNESP) in São José dos Campos, Brazil. The researcher will develop innovative methodologies for flood risk analysis, focusing on the integration of multi-source data, including optical
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with the main objectives of the projects, meaning he/she must: 1. Develop and optimize end plates for solid oxide fuel cells (SOFCs) using multiphysics topology optimization, aiming to ensure structural
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and pasture phenotyping, focusing on the use of advanced remote sensing technologies as drones and satellite imagery. The fellow will develop phenotyping tools and protocols to identify traits
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or advanced statistical models. Solid experience in advanced programming in R and Python is also required. Applicants must have expertise in the following tools: - Git/GitHub; - API development; - IDEs such as
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position within a Research Infrastructure? No Offer Description This project seeks to fill knowledge gaps to strengthen adaptation strategies with a focus on equity and sustainable development. The research
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Research Foundation (FAPESP), starting 02/01/2026, within the project “Development of innovative formulations to optimize the efficacy and safety of dental bleaching.” Applicants must hold a PhD in Dentistry
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function, and impact on virus-host interactions. In vitro and in vivo mouse models will be developed to study the effects of OROV microRNA expression in placental cells and the impact on vertical
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), and Clinical Monitoring Leads (CMLs), which includes both Full-Time Employees (FTEs) and Functional Service Providers (FSPs). The CSO develops and implements region-specific strategies to optimize trial