6 algorithm-development Postdoctoral positions at University of Massachusetts in United States
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are seeking a postdoctoral researcher to join our team leveraging socioeconomic data to address research questions related to renewable energy development impacts in underserved communities. This principally
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and society, and improving risk models for novel pathogen introduction to naïve host systems. In many examples, the PIs Grant and DiRenzo have preliminary models and data that can be further developed
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, developing and numerically solving diffusion reaction equations, parameter estimation, machine learning, and sensitivity analysis, with an emphasis in building open-source technologies that benefit the entire
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Executive Office of Energy and Environmental Affairs (EEA) to develop a system to track the use of climate-smart agricultural practices in Massachusetts, including healthy soils management practices
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. Research opportunities will focus on the use of novel modeling tools for hydrology and water resources systems, with an emphasis on machine learning and remote sensing, with a focus on developing detailed
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proteins and prepare them for use in functional assays. Knowledge of fluorescence microscopy techniques including epi, TIRF and STORM. Proficiency with LabView software. Ability to rapidly learn new software