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. The candidate will work towards developing computational resources that assist in the data management and analysis of genomic data and its integration with phenotypic data. Major project goals will include
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processes for data standardization, data warehousing, quality assurance development and data analysis. A successful candidate will work closely in different aspects of the quality assurance and data
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development as well as co-authorship on high-impact research articles. This is a 1-year term position, with opportunity for renewal depending on good performance and successful funding of the next phase of
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The Skinnider Lab at Princeton University aims to recruit a postdoctoral fellow or more senior researcher to work on projects related to computational analysis of chemical and biochemical datasets
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to work on an NIH-funded multi-lab collaborative project studying the neurocomputational basis of reinforcement learning in rodents. The project, in collaboration with the Berke and Frank labs at UCSF
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University aims to recruit a postdoctoral fellow or more senior researcher to work on projects related to computational analysis of chemical and biochemical datasets. A major focus will be
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determination of the flux and fluence of incident atoms, ions, and gases; and (iii) quantitative analysis of deuterium (D) retention and thermal stability of the retained D using TPD. Surfaces will be exposed
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processes for data standardization, data warehousing, quality assurance development and data analysis. A successful candidate will work closely in different aspects of the quality assurance and data
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of decarbonization and renewable energy expansion in the U.S. The researcher will work with a group of interdisciplinary scholars across multiple institutions that includes Elke Weber and Chris Greig at Princeton
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differential equations, computational fluid dynamics, material science, dynamical systems, numerical analysis, stochastic analysis, graph theory and applications, mathematical biology, financial mathematics