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different subtypes; • Spatial transcriptomics. Mandatory requirements PhD in areas related to the project. Desirable requirements Candidates should demonstrate experience in: In vitro and in vivo experimental
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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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-industrial residues from Brazil and Chile. The candidate must hold a PhD in Biotechnology, Pharmacy, Food/Chemical/Bioprocess Engineering, or related fields. Proven expertise is expected in chromatographic
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Date: April 2026. Application Process: Applications must be submitted between January 25 and February 10, 2026, to the email pereira.filho@unifesp.br with the subject line “PD Application”. Required
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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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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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, Pharmacy, or related fields; • PhD in Medicine, Sciences, Psychobiology, or related areas; • Strong background in Physiology, Reproduction, and/or Microbiology; • Experience in clinical and preclinical