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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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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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at: https://forms.gle/qxf5vo5kKmf9sBNV7 . Mandatory requirements: Bachelor’s degree in Biological Sciences and a PhD in Biotechnology, either completed or with the defense scheduled before the start of
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scientific programming language (Python, Fortran, or C); familiarity with inversion methods or machine learning; experience with high-performance computing (HPC) environments. Desirable requirements Experience
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related to the research activity. Where to apply Website http://www.fapesp.br/oportunidades/9838 Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Brazil
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in Forest Breeding and Epigenomics Details: https://www.science.hr/jobs/240034/postdoctoral-fellowship-in-forest-br… Where to apply Website https://www.science.hr/jobs/240034/postdoctoral-fellowship-in
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monthly and a research 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
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be spent on items directly related to the research activity. Where to apply Website http://www.fapesp.br/oportunidades/9780 Requirements Additional Information Eligibility criteria Eligible destination
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be spent on items directly related to the research activity. Where to apply Website http://www.fapesp.br/oportunidades/9778 Requirements Additional Information Eligibility criteria Eligible destination
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research 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