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; • Familiarity with statistical analyses and modeling as well as machine learning approaches, supported with strong skills in computational optimization of methods; • Experience working with large-scale datasets
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Experience in plant breeding for resistance to biotic and/or abiotic stresses, programming, machine learning, and genomic data analysis. Desirable requirements 1. Cost-effectiveness assessment: rapid
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activity. Where to apply Website http://www.fapesp.br/oportunidades/9867 Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Brazil Eligibility of fellows
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to staff position within a Research Infrastructure? No Offer Description Activities: The post-doctoral researcher will develop machine learning models to evaluate the effectiveness and cost
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: relevant experience may be evidenced through publications, applications and systems developed, and the research topic of the candidate’s Master’s or PhD project (1 PDF file). Apply via the form: https
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in PDF format; • Send your application before the deadline above. For more information, visit the following link: https://www.linkedin.com/feed/update/urn:li:activity:7505698815702867968
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contingency fund, equivalent to 10% of the annual value of the fellowship which should be spent on items directly related to the research activity. Where to apply Website http://www.fapesp.br/oportunidades/9864
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on items directly related to the research activity. Where to apply Website http://www.fapesp.br/oportunidades/9863 Requirements Additional Information Eligibility criteria Eligible destination country/ies
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. How to apply Send your CV, together with a motivation letter and a letter of recommendation, to [email protected] by October 12, 2026. Where to apply Website http://www.fapesp.br
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of the fellowship which should be spent on items directly related to the research activity. Where to apply Website http://www.fapesp.br/oportunidades/9792 Requirements Additional Information Eligibility criteria