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database modeling, creation and implementation of functionalities and interactive interfaces, case study development and analysis, and repository management and documentation of technological processes
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will apply semantic modeling on the Multi-User Equipment (EMU) cluster infrastructure aiming at the generation of Explainable Artificial Intelligence (XAI). Mandatory requirements: Ph.D. in
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to eCO2, contributing to climate models and projections. The fellow will be based at the State University of Campinas's Center for Environmental Studies and Research (NEPAM-UNICAMP) in São Paulo state
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position within a Research Infrastructure? No Offer Description The project involves the use of models for the hydrological and environmental analysis of watersheds, as well as for assessing the impacts
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Resources into Bioproducts and Bioenergy.” Required Expertise The candidate must demonstrate proven experience in: - Renewable hydrogen production; - Proficiency in thermochemical modeling and process
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. 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
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potential in preclinical experimental models. Requirements: Applicants must have obtained their PhD within the last five years and have experience in the study of non-conventional lymphocyte populations, as
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staff position within a Research Infrastructure? No Offer Description The project aims to develop and validate advanced Artificial Intelligence models for automated segmentation and prognostic assessment
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to staff position within a Research Infrastructure? No Offer Description CIATec selects 1 FAPESP Postdoctoral Fellow to work on the development of predictive models and recommendation systems, based
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with a PhD in Biology, Ecology, Geosciences, Earth System Science, Environmental Sciences, or related fields and proven experience in computational modeling of vegetation to conduct research