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to the same address. This opportunity is open to candidates of any nationality. The selected candidate will receive a FAPESP Post-Doctoral fellowship in the amount of R$ 12,570.00 monthly and a research
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NIH R-level funding. Additional responsibilities include pursuing independent and collaborative funding opportunities through federal agencies, foundations, and professional organizations, and providing
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bacterial genome analysis and comparative genomics. * Skills in bioinformatics applied to genomic data analysis. * Experience in data analysis and visualization, particularly using R and/or Python. * Ability
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population genomic analyses of crop species Experience managing and analyzing large-scale biological datasets Experience using SLURM-based high-performance computing systems Demonstrated proficiency in R
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programming skills in R. Proficiency working within UNIX/Linux environments. Preferred Qualifications Experience with Bayesian statistical methods. Experience with hierarchical modeling and mixed effects models
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Proficiency in scientific computing using R, Python, or a comparable language, including experience developing reproducible analytical workflows, as demonstrated by presentations, publications, and/or
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Certification; experience with Matlab, Python or R. Deadline to Apply Our University Community We value the well-being of each of our employees and are dedicated to creating a healthy place for everyone to work
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biology, bioinformatics, infectious-disease epidemiology, evolutionary or ecological biology, or a closely related field. Strong programming skills (R, Python, and/or other) Familiarity with version control
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Experience in analysing high-dimensional and spatial data, including imaging mass cytometry (IMC) Advanced programming and data analysis skills in R and/or Python Downloading a copy of our Job Description Full
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quantitative/statistical skills and experience handling large, multi-source environmental and/or biomonitoring datasets. Proficiency in a relevant programming/statistical environment (e.g. R, Python, or MATLAB