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bibliographic review and systematization, comparative data analysis among Brazil, Portugal, and Cuba, and will collaborate in academic missions, events, and scientific publications with the research team
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postdoctoral fellow will conduct bibliographic review, data systematization, comparative analysis, and preparation of reports and scientific papers, as well as participate in research group meetings, academic
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, behavioral testing, molecular biology, immunohistochemistry, confocal microscopy, and image analysis. Fluency in English and strong scientific writing skills are essential. The fellowship offers a monthly
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candidates who have obtained their PhD degree within the last 5 years. The selection process will involve an analysis of curriculum vitae, experience, and compatibility with the project scopes. Activities
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)**, **enzyme activity assays**, **flow cytometry handling and data analysis**, and **execution and evaluation of motor and physiological tests related to sports performance**, including **operation of gas
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of candidates will be carried out through curriculum analysis and an interview. The interview stage will be conducted remotely. The curriculum analysis will be performed by a selection committee and will be
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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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publication record. Selection process CV analysis, recommendation letters, interview Additional comments Applicants should send an e-mail to Prof. Marcelo G. de Oliveira (mgo@unicamp.br ). By November 17, 2025
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experience in molecular biology is required, especially in techniques such as DNA/RNA extraction, PCR and genomic analysis, as well as experience in data analysis using bioinformatics tools. Knowledge of next
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staff position within a Research Infrastructure? No Offer Description The post-doctoral position is part of the project “Integrated Modeling and Predictive Analysis of Flood Risk under Distinct