74 structures-"https:" "https:" "https:" "https:" "https:" "Ruhr Universität Bochum" research jobs in Brazil
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to staff position within a Research Infrastructure? No Offer Description The aim of this fellowship is to study the structure and dynamics of the viral factory formed in A. castellanii during the
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the state of São Paulo (Brazil), using Light Detection and Range-LiDAR profiling data covering the entire state. LiDAR technology will enable a detailed analysis of forest structure, while deep learning
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record and an excellent graduate transcript. ii) The Fellowship requires exclusive dedication to the research project (for FAPESP's full-time dedication policy, see: https://fapesp.br/7090 ). How to apply
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structural changes in the governance of natural resources and their relationships with sustainable development, thereby enhancing adaptation and resilience to climate change. Mandatory requirements: Fluent
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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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which should be spent on items directly related to the research activity. Where to apply Website http://www.fapesp.br/oportunidades/9371 Requirements Additional Information Eligibility criteria Eligible
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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/9375
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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/9368
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the research activity. Where to apply Website http://www.fapesp.br/oportunidades/9358 Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Brazil Eligibility
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information, enabling the automated generation of datasets containing the structural and stratigraphic characteristics of interest. This approach allows for improved stratigraphic predictions of regional