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repertoire analysis using phage immunoprecipitation sequencing (PhIP-seq) is an advantage. Advanced English and full-time dedication required. Applicants should send a CV, graduate transcript, and a brief
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sampling (including SCUBA dive), molecular biology techniques (from DNA and RNA extraction to library preparation for sequencing on Illumina platforms) and bioinformatics (short sequence analysis, searching
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biology analyses (qPCR, Western Blotting), next-generation sequencing (exome and transcriptome), enzymatic activity experiments, and scientific writing. Experience with the kallikrein-kinin system and rare
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multiple access. The focus will be on the application of AI techniques, aiming at their reliable, robust, and effective integration. Requirements: - Experience with the Python programming language
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for the application; - Evidence of experience aligning with the required profile. This opportunity is open to candidates of any nationality. The selected candidate will receive a FAPESP Post-Doctoral fellowship in
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, immunology, molecular biology, data science, statistics, or related fields, with demonstrated experience in single-cell RNA sequencing (scRNA seq) analysis, data and multiomics integration, and cell type
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competencies align with the requirements of this opportunity. 3 Letters of Reference The candidate must submit two letters of reference, prepared for example by PhD or Master’s advisors, or former professors
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cloud interaction. This proposal builds on measurement campaigns at the Amazon Tall Tower Observatory (ATTO) site aimed at quantifying new particle formation arising from multiple processes. Observations
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; FAPESP format available at https://fapesp.br/en/6351 ); - Motivation letter (1–2 pages), describing research interests, alignment with the fellowship theme, and relevant prior experience; - Up to two