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techniques for the development of wearable devices capable of detecting plant health markers and analytes of agricultural interest. Candidates must hold a PhD degree in Chemistry, Materials Science, or related
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potential use of the Tietê–Paraná Waterway. 3) Solving problems associated with the definition of regular navigation services. 4) Modeling and solving the lock transit scheduling problem. Requirements: • PhD
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projects with tangible outputs; programming skills; operation and planning of electric power distribution networks; and database management. Recently graduated PhD holders are preferred. Application Process
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). Candidates must meet the following requirements: - PhD in Computer Science; - Experience in research on the use of AI to recommend code refactoring opportunities; - Experience with data analysis and data
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of the email should be “PostDoc CBD photometry”. Applicants should be close to completing their PhD or have obtained their doctoral degree within the last seven years. Shortlisted candidates will be
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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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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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(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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policies that promote forest systems resilient to environmental stresses. Requirements: • PhD in Forest Engineering, Agronomic Engineering, or related areas; • Experience in multifunctional forests and
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Applicants must hold a PhD degree obtained within the last 7 (seven) years prior to the start of the fellowship, from a recognized higher education or research institution in Brazil or abroad, with relevant