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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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implementation of processes for advanced treatment of effluent from different wastewater treatment plants under sunlight with the goal of water reuse. Mandatory requirements: PhD in Chemistry, Chemical Engineering
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21 Mar 2026 Job Information Organisation/Company FAPESP - São Paulo Research Foundation Research Field Geosciences Researcher Profile Established Researcher (R3) Application Deadline 24 Apr 2026 - 23:59 (UTC) Country Brazil Type of Contract To be defined Job Status Not Applicable Is the job...
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academic experience will be requested to finalize the process and grant the fellowship. Failure to present these documents when requested will result in elimination from the selection process. 2 Candidate
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of Medicine of São José do Rio Preto (FAMERP) in São Paulo state (Brazil), offers one (01) post-doctoral position within the scope of the FAPESP Regular Research Grant (Process: 2025/20784-3). The project has
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staff position within a Research Infrastructure? No Offer Description The general objective of this project based at the State University of Campinas's Faculty of Electrical and Computer Engineering (FEEC
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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
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Areas: Programming Languages, Computer Security and Operating Systems, Human-Computer Interface and Software Engineering. All information is avaliable in our Website Where to apply Website https://bit.ly
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. Requirements: PhD completed less than 7 years ago in Computer Science or related areas; experience in machine learning and data science (supervised/unsupervised models, recommendation and evaluation/robustness
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position within a Research Infrastructure? No Offer Description Activities The fellow will be expected to research the relationship between these technologies (big data, machine learning, and the entire