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Field
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skills for this position. Specifically, the PA will use generalized additive mixed-effects models to analyze data from existing and ongoing projects. Fluency with the R programming language is essential
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will be awarded for 12 months (extendable for 12 months/or until the end of the term), with a monthly amount of R$12,000.00, with resources from the Technical Reserve.Requirements/skills: Bachelor's
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analysis, and proficiency in statistical and computer modelling software (e.g. R, Python, Matlab, and C++) would be advantageous. The appointee will work with a research team to study the methodologies
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neurological disease models. Familiarity with neuroscience techniques and CNS biology. Experience with advanced microscopy and imaging techniques. Programming skills in R, Python, or MATLAB. Prior experience
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in R or Python. Experience in applied economic analysis, with preference given to those with experience developing and using structural economic models. Experience with U.S. commodity price analysis
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such as glaucoma, macular degeneration, and uveitis. Programming in Python and R languages with knowledge of Google Tensorflow, PyTorch, scikit-learn, and Keras or other related deep learning libraries
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for modelling infectious diseases epidemics. Kraemer et al, Nature 2025 New R package to easily reconstruct the history of pathogen circulation from age-stratified data. Hoze et al, PLoS Comp Biol, 2025 Using
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' datasets - genomics transcriptomics, and proteomics Proficiency in R, Python, and other programming languages Expertise in Linux, Git, Docker, and other high-performance computing environments Excellent
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neurogenetics of Drosophila. This requires expertise in setting up and analysing behavioural tests, using appropriate analytical methods and software and skills in coding in e.g. R, MatLab, R, Python, as required
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: Prof. Wei Wang), China, and her PhD from UC Berkeley, where she worked on COFs and MOFs under Prof. Omar Yaghi. She then completed postdoctoral training at Caltech in Prof. Michael R. Hoffmann's group