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knowledge and advanced transfer learning techniques. The methodology incorporates fundamental radar wave propagation equations into the diffusion process, allowing for more accurate and physically consistent
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these images. This project proposes an innovative approach that combines state-of-the-art diffusion models with physical radar knowledge and advanced transfer learning techniques. The methodology incorporates
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learning and community engagement in conservation. Requirements: PhD completed; fluency in English; experience with qualitative methods; experience with and availability for fieldwork, in accordance with
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WaterWeave project, which focuses on innovative solutions for monitoring and the sustainable management of water resources. The fellow will develop machine learning and cloud computing techniques to estimate
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topics associated with infrared physics, such as celestial holography and related subjects. Applicants should hold a PhD in Physics and have a strong background in scattering amplitudes in gauge theories
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(LNBio). We are looking for candidates who have: • A PhD in Molecular Biology, Immunology, Microbiology, Biotechnology, or related fields; • Strong experience in molecular biology; • Hands-on expertise
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institutions and civil society organizations, and contribute to academic activities of the project. Requirements: PhD obtained within the last 7 years, full-time dedication, background in administrative, urban
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the supervision of Prof. Dr. Marilene Proença Rebello de Souza, within the project Center for Science for the Development of Basic Education: Learning and School Coexistence (CCDEB) (FAPESP Process 2024/01122-7
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the supervision of Prof. Dr. Marilene Proença Rebello de Souza, within the project “Center for Science for the Development of Basic Education: Learning and School Coexistence (CCDEB)” (FAPESP Process 2024/01122-7
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ago, in Chemical Engineering or related fields. Desired qualifications include: experience with lignin, new solvents (deep eutectic solvents – DES or ionic liquids), determination of phase equilibrium