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conform to the expected result of the indicator. Creates proof of concept scientific workflows and documentation examples. Provides expertise in R and python coding to facilitate data analysis and workflow
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individually make a real difference. The role We are seeking an ambitious and highly motivated postdoctoral Research Fellow in quantitative genetics to join a multidisciplinary research team. The post involves
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memory consolidation through neural reactivation (“replay”), yet how different experiences—particularly socially reinforced ones—are selected for consolidation remains unclear. Social memories are often
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cannot be feasibly built across the wide range of environmental conditions present in U.S. croplands. To address this, computer simulations can evaluate the performance of different cropping systems across
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Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted
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datasets Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer The successful candidates will
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imaging data as well as new paradigms for characterizing mouse social and vocal behaviors. The role of the Postdoctoral fellow She/he will analyze genetic data from different groups of individuals with
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existing network condition and operation data to predict water pipeline condition analyse and combine different data sources, such as pipe burst records, acoustic inspection data, and flow and pressure data
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, relevant, and scientifically valid evidence to improve health policy and practice. IHME carries out its mission through a range of projects within different research areas including the Global Burden
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intervention and data from diverse sources Proficiency in statistical and computational languages (SQL, SAAS, R, Python, etc.), skills Knowledge of both traditional statistical analysis (e.g., logistic