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) and supervised by Prof. Diogo Rosenthal Coutinho from USP's Law School (FD). The fellowship aims to develop a methodology to identify and systematize legal risks in eviction processes, mapping legal
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-learn); familiarity with data engineering and infrastructure (PostgreSQL and/or NoSQL, REST APIs, Docker, Git). Differentials: large language models, AI agents and/or semantic databases/graphs. Position
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, or related fields. Experience in infectious disease immunology and antibody research (functional characterization, epitope mapping, neutralization assays, monoclonal antibody cloning or expression) is
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and Supply (SAASP). Duration: 36 months (full-time) Expected start: April 2026 (flexible) How to apply Applications should be submitted only through the Google Form: https://docs.google.com/forms/d/e
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enclosed: - A CV, with links to Google Scholar Research ID, or ORCID profiles; - A letter describing the reasons for the interest in this position; - The names of two persons who are knowledgeable about the
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-format curriculum vitae containing a link ORCID, ResearcherID, or Google Scholar), and through a video conference interview. The selected candidate will receive a 12-month FAPESP Post-Doctoral Fellowship
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Summary (4 pages), following the template of the São Paulo Research Foundation (FAPESP, grantor institution), including on ORCID, Web of Science ID, and Google Scholar updated profiles; b. Motivation
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Claro and travel to Cavalcante (fieldwork); • Consistent scientific output; • PhD completed within the last 7 years. Interested candidates should complete the Google form (https://forms.gle
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in Python (R and Matlab); • Familiarity with large-scale data processing and cloud computing (Google Earth Engine, BDC, AWS). Application: Send a cover letter (1 page), updated CV, and two references