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and healthy aging, employing iPSC-derived cellular models, skeletal muscle differentiation, and three-dimensional muscle tissue engineering. Requirements: PhD in Genetics or related fields; demonstrated
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staff position within a Research Infrastructure? No Offer Description The post-doctoral position is part of the project “Integrated Modeling and Predictive Analysis of Flood Risk under Distinct
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: - PhD in Business Administration, Engineering, Sociology, or Economics; - Relevant publications in the field; - Experience in qualitative and quantitative research related to ecosystems, innovation
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the Education and Knowledge Dissemination axis. The project aims to investigate and bring visibility to women-led movements that resist the predatory models of large-scale wind energy project installation in
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or advanced statistical models. Solid experience in advanced programming in R and Python is also required. Applicants must have expertise in the following tools: - Git/GitHub; - API development; - IDEs such as
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or abroad, in Soil Science, Remote Sensing, Environmental Sciences, or Pedometrics; - Proven experience in pedometrics, soil remote sensing, predictive soil modeling, soil organic carbon, and data science
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of Python programming and machine learning tools, deep learning, and large language models is desirable. The fellow will be based at the Engineering College of the São Paulo State University (UNESP), in its
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staff position within a Research Infrastructure? No Offer Description The project “Teachers’ purpose and well-being: a study with Brazilian public school teachers in light of the Organizing Models
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to anthropogenic climate change. Nevertheless, these extreme events may be modulated by large-scale climate variability modes across a wide range of spatial and temporal scales. Using large ensemble multi-model
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diseases, based at the Butantan Institute in São Paulo city, Brazil, and supported by the São Paulo Research Foundation (FAPESP) through its Engineering Research Centers (ERCs) program in partnership with