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Physics, Particle Physics, or Quantum Field Theory; experience in the use of numerical and symbolic algebra methods. Desirable requirements: Experience in nonperturbative methods of Quantum Field Theory
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, purify, and titrate lentiviral particles. They will perform lentiviral transduction to generate stable cell lines, assess expression by flow cytometry, and run large-scale cell culture and protein
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antimicrobials in aquaculture. Activities include physicochemical characterization, evaluation of release profiles, antimicrobial activity assays, and development of methods to incorporate the systems into fish
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biogenic particles; the effects of fronts, eddies, upwelling, and other mesoscale processes on biological communities; applications of remote sensing integrated with in situ observations, numerical modeling
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strategies and artificial intelligence based on chemical analysis results. The researcher will be responsible for the integration, processing, and interpretation of data, applying statistical methods and
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data and deep learning methods to assess canopy cover, quality, carbon stocks, and ecosystem services. Mandatory requirements: PhD in areas related to forest resources, remote sensing, data science, or
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microscopy (FM), electron microscopy data analysis, nanoscale structural characterization, or the development of computational methods and tools for materials characterization will also be valued. How to apply
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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
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of phytohormones produced by microalgae. Activities will include microalgal cultivation and strain selection, optimization of metabolite extraction and purification methods, chromatographic analyses using HPLC and
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. Mandatory requirements: PhD in Social Sciences or a related field, completed less than seven years ago, subject to extensions allowed by FAPESP; proficiency in qualitative methods and basic knowledge