54 developer-"https:" "https:" "https:" "https:" "Computer Vision Center" Postdoctoral positions in Brazil
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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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TEM/STEM experiments using nanometer-sized electron beams. Development of correlative protocols for ePDF and fluctuation microscopy (FM) data acquisition and analysis, focusing on middle-range order
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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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to staff position within a Research Infrastructure? No Offer Description Activities and context CISM is offering a post-doctoral research opportunity to lead and develop an implementation project
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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
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on nanostructured membranes and advanced materials; 2. Synthesis of functional nanomaterials; 3. Development of polymeric, hybrid, and composite membranes; 4. Surface modification and membrane functionalization; 5
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, throughout the project development period. Desirable requirements: Previous experience in forensic science, food traceability and authentication, and application of nuclear analytical methods; experience in
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staff position within a Research Infrastructure? No Offer Description Activities and context: The scholarship holder will be responsible for these tasks: 1. To develop a lightweight framework for
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an overview of rental housing policies in Latin America, with the aim of generating evidence and policy inputs to support the development of a rental housing policy for the city of São Paulo. For further
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recipient will contribute to the core research theme of the RATIONAL project, which focuses on investigating and developing robust evidence-based retrieval methods for Natural Language Inference (NLI) tasks