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computing, obtained within a maximum of 7 years; application of machine learning and deep learning methods to remote sensing images; proficiency in programming (R, Python, or similar); ability to work
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-effectiveness of strategies for preventing long-term central venous catheter-related infections in oncology services. Responsibilities include data analysis using Python and R, health economic evaluations
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statistical software (R, Python, SAS, or similar); English proficiency for reading, writing, and presenting; full-time residence in Piracicaba. Desirable requirements Experience with large datasets and metadata
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: Computer Science or Computer Engineering; • PhD: Computer Science or related fields within the last 7 years; • Knowledge of: Python, DL, CV, Transformers, LLMs, NLP; • Relevant scientific publications; • English
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interatomic potential development. Proficiency in scientific programming (Python and/or Fortran). English proficiency is also required. Desirable requirements: Experience with machine-learning interatomic
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programming languages such as R and/or Python; • Experience with widely used bioinformatics tools and frameworks (e.g., Seurat, Scanpy, SCENIC/SCENIC+, GENIE3); • Demonstrated publication record in peer
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. Experience in scientific programming, preferably using Python. Familiarity with seismic waveform processing (ObsPy or equivalent software). Willingness to participate in field campaigns, including
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and/or Python. Experience with widely used bioinformatics tools and frameworks (e.g., Seurat, Scanpy, SCENIC/SCENIC+, GENIE3). Demonstrated publication record in peer-reviewed journals. Excellent
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position within a Research Infrastructure? No Offer Description Activities and context The position is for a 10-month term and is linked to the “Brazilian Institute of Data Science – BI0S” project (https
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activity. Where to apply Website http://www.fapesp.br/oportunidades/9897 Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Brazil Eligibility of fellows