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of Artificial Lift Operation”, considering data analysis (time series analysis) to identify failures and damages in the artificial oil lifting process. The fellow will work within the scope of the Energy
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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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to varantes@usp.br by November 12. Requirements: Hold a doctoral degree (PhD or equivalent) obtained within the last 7 years Fluent in Portuguese; proficient in English and Spanish; Strong theoretical
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Department of Statistics (DE-UFSCar) and the University of São Paulo's São Carlos Institute of Mathematical and Computer Sciences (ICMC-USP). The fellow will be based at UFSCar. The position is open to
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proteomics, characterizing the biological processes and cellular functions related to differentially abundant proteins (DAPs). The postdoc will be based at the Sepsis Research Lab (LPS) of the Federal
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. Requirements: PhD in Genetics or related fields; demonstrated experience in iPSC reprogramming and skeletal muscle differentiation, cell-based functional assays, immunofluorescence and confocal microscopy, cell
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of a 5-year FAPESP-funded thematic project entitled “Nitric-oxide-releasing hydrogels and vascular prostheses for cardiovascular applications.” Qualifications include a PhD in Biology, Physiology
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position within a Research Infrastructure? No Offer Description The School of Electrical and Computer Engineering (FEEC) and the Agricultural Engineering School (FEAGRI), both from the State University
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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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techniques, molecular analyses, MALDI-TOF MS mass spectrometry, and sequencing. The fellow will be responsible for supervising all stages of the project (from sample collection and processing to molecular