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sciences, engineering, or a related field; • Strong publication record; • Experience in sustainability assessment and quantitative modeling; • Professional proficiency in English, Portuguese, and/or Spanish
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(IF-USP) n Brazil and to work with Prof. Luiz Machado. The candidate must have experience with data analysis and the instrumentation referred in the project. Training or experience in the fields campaigns
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-901StreetCentro de Ensino e Pesquisa Albert Einstein – Campus Cecília e Abram Szajman – Rua Comendador Elias Jafet, 755 (Centro de Pesquisa Experimental) Contact State/Province São Paulo City São Paulo Website http
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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
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/axonopathies.” Prerequisites: • PhD degree in Biological Sciences or Health Sciences; • Experience in techniques such as Histology, Molecular and Cell Biology, Immunohistochemistry, miRNA and RNAseq analysis
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Science, Computer Engineering, or a related field, completed before the fellowship start date. Candidates should demonstrate experience in at least two of the following areas: compilers, parallel programming
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biology and comparative genomics; - Demonstrable experience with bioinformatics tools for genome analysis; - Demonstrable experience with bacteriophage genome assembly and annotation; - Proficiency in
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. The University of São Paulo's School of Arts, Sciences and Humanities (EACH-USP) is CIATec's host institution. Requirements: PhD completed less than 7 years ago in Education or related areas; experience in
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experience in conducting studies on sugarcane, including etiology, epidemiology, disease management, and molecular plant pathology, will be considered important qualifications. Publications in peer-reviewed
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. Requirements: PhD completed less than 7 years ago in Computer Science or related areas; experience in machine learning and data science (supervised/unsupervised models, recommendation and evaluation/robustness