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. Mandatory requirements: PhD obtained within the last seven years in a field related to the project; availability to start immediately; prior publications related to the project; proven skills in MariaDB
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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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); - 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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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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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
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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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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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essential for patient care and direct communication. Requirements: - Bachelor's degree in a Life Sciences field and PhD defended within the last seven years in Molecular Biology or Medical Physiopathology
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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