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- FAPESP - São Paulo Research Foundation
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. • Curriculum Vitae according to the FAPESP model . Benefits The fellowship is open to both Brazilian and international candidates. The fellow will receive a FAPESP Post-Doctoral Fellowship amounting to R
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according to the FAPESP model . Benefits The fellowship is open to both Brazilian and international candidates. The fellow will receive a FAPESP Post-Doctoral Fellowship amounting to R$ 12,000.00 monthly and
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and qualifications for the position. • Curriculum Vitae according to the FAPESP model . Benefits The fellowship is open to both Brazilian and international candidates. The fellow will receive a FAPESP
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using Molecular Biology and Genetics techniques. 3) It is important, but not essential, to have skills in handling mice and 4) It is important to have skills in handling mice and animal models
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angle X-ray scattering (SAXS) and molecular dynamics (MD) simulation, under conditions that consider IDPs oligomerization mechanisms catalyzed by biological interfaces (model lipid membranes). The main
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/1XXaQm8s9MBA_CiojTFlN02FtbOrPbbQB/view?usp=sharing . Candidates should send an email to katia.ferraz@usp.br with the subject “PD Transdisciplinarity for HWC”, attaching a letter of interest, curricular summary (as in the model
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, or related areas. The candidate should have a strong background in Cellular and Molecular Biology, particularly in the development of organoid models. Experience in advanced Molecular Biology techniques is
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Dentistry, Biomedicine, or related areas. The candidate should have a strong background in Cellular and Molecular Biology, particularly in the development of organoid models. Experience in advanced Molecular
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insemination (FTAI) in prepubertal heifers. The documents for registration are: a) Curriculum summary in the FAPESP model ; b) Motivation letter; c) Research proposal (three pages); and d) Three recommendation
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Research Corporation) in Campinas, São Paulo state. The activities involve collecting proximal and drone images in the field, applying deep learning models to the generated image datasets to solve problems