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2 pages). This opportunity is open to candidates of any nationality. The selected candidate will receive a Post-Doctoral fellowship fom the São Paulo Research Foundation (FAPESP) in the amount of R
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School (FMRP-USP), Brazil. The position is open to Brazilian and international candidates. The selected candidate will receive a FAPESP Post-Doctoral Fellowship worth R$ 12,570.00 per month, plus a
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” in the Moonshot R&D project (Goal 8) https://www.jst.go.jp/moonshot/program/goal8/84_kotsuki.html [Work content and job description] The selected person will address numerical modeling of heavy
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, neuroscience or computer science Proficiency in Python, R, Matlab, or another relevant programming language Expertise in integrated analysis of behavioural and imaging data. Experience working with children in
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the amount of R$ 12,570.00 monthly (in force starting on November 1, 2025), reimbursement of the social security contribution to the National Institute of Social Security (maximum value of R$ 1631,48), and a
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/reperfusion (I/R) injury in livers. Specifically, the Kim lab investigates the mechanisms behind steatosis-mediated increase in hepatic I/R injury to develop novel therapeutic strategies to improve liver
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. · Biologically informed data interpretation · Experience with Python, R and command line Ideal candidate: A computational biologist or bioinformatician with strong programming skills and a firm background in
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collaborate well with software engineers, students, psychologists, and statisticians. You are highly proficient in English writing. You have extensive experience in R programming. What else do we offer you This
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, electrocardiogram). Advanced skills in statistical analysis and modeling, particularly in cross-frequency coupling, with proven experience using Python and R environments. Proven experience in experimental research
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phenotyping, sequencing, gene editing, and the isolation and characterization of extracellular vesicles is desired. Proficiency in bioinformatics tools and programming languages (e.g., R, Python) for data