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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
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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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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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). Preferred qualifications: PhD in Sport Sciences or related fields; research experience with hypoxia studies (human and animal models); availability for short travels to collaborate with partner laboratories
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scholarship (R$ 12,570.00), which will be valid for two (2) years. The fellowship includes a research contingency fund equivalent to 10% of the annual value of the fellowship which should be spent on items
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the São Paulo Research Foundation (FAPESP) and the National Natural Science Foundation of China (NSFC) involving UNICAMP and Zhejiang University. Candidates must have defended their PhD less than 7 years
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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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the implementation of case studies to test and evaluate the developed systems; 4. Support in supervising the Technical Training scholarship holders responsible for system development. The fellow will work within the
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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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to anthropogenic climate change. Nevertheless, these extreme events may be modulated by large-scale climate variability modes across a wide range of spatial and temporal scales. Using large ensemble multi-model