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Research Opportunities

Computer Science; Informatics

Work description

The design and development of automated data pipelines for pre-processing, anonymisation and efficient storage of large volumes of clinical data. The creation of backends and APIs using frameworks to integrate AI models with hospital interfaces. The implementation of security mechanisms and compliance with the LGPD/GDPR and hospital standards. The technical integration of the predictive model with existing hospital systems, guaranteeing interoperability and performance.

Active collaboration with the scientific team in the technical and methodological documentation of the solutions developed and in the writing of scientific publications.

Academic Qualifications

Master’s degree in computer science.

Minimum profile required

Knowledge of Software Engineering. Knowledge of Data Science.

Preference factors

Solid academic background in Computer Engineering, Computer Science. Relevant experience in backend software development and API integration. Knowledge and experience in managing and processing large volumes

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In-brief analysis

June 4, 2025

U.S. production of renewable diesel and biodiesel fell sharply in the first quarter of 2025 (1Q25) because of uncertainty related to federal biofuel tax credits and negative profit margins. We forecast production of both fuels to increase as the year progresses but biodiesel production to remain less than in 2024.

Renewable diesel and biodiesel are biomass-based diesel fuels that can replace petroleum-based distillate and be used to comply with renewable volume obligations in the Renewable Fuel Standard (RFS) administered by the U.S. Environmental Protection Agency (EPA). Renewable diesel can be used in diesel engines in any concentration because it is chemically equivalent to petroleum-based distillate fuel, and biodiesel is typically blended with petroleum distillate at concentrations of 20% or less for vehicle consumption because of some chemical differences.

In January 2025,

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The U.S. National Science Foundation today announced a new funding opportunity to support research and technology development that will improve the next generation of wireless communication systems known as NextG.     In collaboration with industry, other government agencies, and international partners, the NSF Verticals-enabling Intelligent NEtwork  Systems (NSF VINES) program will invest up to $100 million to accelerate performance and capabilities of next-generation (NextG) advanced intelligent network systems  spanning the user-edge-core-cloud continuum. 

“NSF VINES will enhance U.S. competitiveness in advanced telecommunications technologies, including NextG wireless telecommunications and emerging potential NextG vertical industries, and prepare the American workforce for jobs available now and in the future,” said Brian Stone, performing the duties of the NSF Director.

“This important investment from NSF, in collaboration with industry and other government agencies, will help strengthen U.S. leadership and ensure the American people reap the benefits in areas such as self-driving cars, advanced manufacturing, energy infrastructure, and beyond,” said Dr. Lynne Parker, Principal Deputy Director of The White House Office of Science and Technology Policy. 

NSF VINES is in partnership with several major industry organizations and U.S. federal agencies, including Ericsson, Intel, Qualcomm, the U.S. Department of Homeland Security, U.S. Department of Defense Office of the Under Secretary for Research and Engineering, and U.S. Department of Commerce National Institute of Standards and Technology, as well as international partners from

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