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spectrum of artificial intelligence in its various interfaces), the failure of liberal democracies, and the constitution of contemporary subjectivities exiled from themselves. Mandatory requirements - PhD in
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and activities. Mandatory requirements Candidates must hold a PhD in Geometry or a closely related field by the start of the fellowship. Potential supervisors: - Algebraic Geometry: Marcos Jardim, Ethan
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Immunodeficiencies), Faculty of Medicine (FM), University of São Paulo (USP), under the supervision of Prof. Dr. Maria Notomi Sato. Requirements: PhD in Immunology or a related field. Knowledge of virology, cellular
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); - Experience with data balancing techniques; - Desirable basic knowledge of Multiple Input, Multiple Output (MIMO), Fluid Antenna System (FAS), and Compressive Sensing (CS); - PhD degree obtained within the last
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original research, contributing to project management and to international academic debates on AI and technological governance. Mandatory requirements Applicants must: • Hold a PhD obtained within the last 7
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, including the use of resources such as audio description, tactile materials, and assistive technologies. Mandatory requirements: Applicants must have completed their PhD within the last seven years and be
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skills; (IV) Recommendation letter from the PhD advisor (no other letter will be accepted). This opportunity is open to candidates of any nationality. The selected candidate will receive a FAPESP Post
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optimization in distributed systems. The work also involves modern compiler infrastructures, with emphasis on MLIR, and contributions to LLVM and the OpenMP standard. Applicants must hold a PhD in Computer
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Educational background and field of knowledge: Agricultural Engineering/Agronomy or related fields, with a focus on Plant Pathology. Specific Requirements The candidate must hold a PhD degree with a thesis
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requirements: The candidate must have obtained their PhD within the last 7 (seven) years, counted from the start date of the fellowship, and have experience in remote sensing applied to agriculture and/or