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of Python programming and machine learning tools, deep learning, and large language models is desirable. The fellow will be based at the Engineering College of the São Paulo State University (UNESP), in its
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diseases, based at the Butantan Institute in São Paulo city, Brazil, and supported by the São Paulo Research Foundation (FAPESP) through its Engineering Research Centers (ERCs) program in partnership with
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Research Foundation) to work on the project “Sleep and biological rhythms in family and social life: a network and family-based analysis in urban and rural areas of the Amazon region” which is part of
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for application in different matrices. The candidate must meet the following requirements: - PhD in Bioprocess Engineering, Chemical Engineering, Food Engineering, Biotechnology, or related fields; - PhD degree
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targets through the investigation of anti-inflammatory peptides derived from animal venoms. The activities involve exploring the biology of the peptides and their in vitro effects on cellular models
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the University of São Paulo's Engineering School (POLI-USP) in São Paulo city, Brazil. Requirements to fill to position: • PhD in fields related to Computing, Applied Mathematics, Physics, Statistics, Electrical
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analyses), collaborating in student supervision, seeking research collaborations, contributing to scientific dissemination, and preparing reports and manuscripts. Requirements: • PhD in Biomedical Sciences
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) Mechanistic understanding of ncRNAs in host-parasite interactions and parasite metastasis. Candidates must hold a PhD in Molecular Biology, Cell Biology, Genetics, or Biochemistry and must have prior knowledge
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transmembrane domains of VirB6 and VirB8, followed by structural/biophysical studies using biochemistry, NMR spectroscopy, and electron microscopy (Cryo-EM or negative staining). Candidates must hold a PhD in
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targets through the investigation of anti-inflammatory peptides derived fromanimal venoms. The activities involve exploring the biology of the peptides and their in vitroeffects on cellular models