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/editais-calls/ . Where to apply Website http://www.fapesp.br/oportunidades/9285 Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Brazil Eligibility
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related to the research activity. More information about the fellowship is at: fapesp.br/oportunidades/9198 . Where to apply Website http://www.fapesp.br/oportunidades/9198 Requirements Additional
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sciences; experience in human genetic data analysis and bioinformatics applied to Neuroscience, preferably in Psychiatry, including genotyping or WES/WGS data; experience in genetic association studies (GWAS
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imagery; ii) Collection and analysis of field data; iii) Land use and land cover studies with a focus on agricultural systems; iv) Organization and management of geospatial databases, preparation
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; - Experience with data processing techniques. Desirable knowledge of methods such as Neighborhood Components Analysis (NCA), Locally Linear Embedding (LLE), and t-distributed Stochastic Neighbor Embedding (t-SNE
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information about the fellowship is at: fapesp.br/oportunidades/9204 . Where to apply Website http://www.fapesp.br/oportunidades/9204 Requirements Additional Information Eligibility criteria Eligible
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http://www.fapesp.br/oportunidades/9131 Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Brazil Eligibility of fellows: country/ies of residence: All
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/axonopathies.” Prerequisites: • PhD degree in Biological Sciences or Health Sciences; • Experience in techniques such as Histology, Molecular and Cell Biology, Immunohistochemistry, miRNA and RNAseq analysis
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. Requirements: PhD completed less than 7 years ago in Computer Science or related areas; experience in machine learning and data science (supervised/unsupervised models, recommendation and evaluation/robustness
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; - Proven experience in molecular biology techniques, clinical pathology, and translational research with human samples; - Basic knowledge or high motivation to work in bioinformatics and omics data analysis