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The University of Alabama in Huntsville- Earth System Science Center | Huntsville, Alabama | United States | about 12 hours ago
The University of Alabama in Huntsville (UAH) is seeking highly motivated data scientists with a PhD in a relevant science discipline and a strong background in computational sciences or data
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relation in the use of geospatial data and methods for simulating urban processes such as land-use change. You should hold a PhD (or nearing completion) in the field of urban analytics and modelling and/or
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this project, you will cultivate fungal biofilms on a variety of waste streams, and characterise the waste streams, products, and biofilms. You will use analytical techniques including, but not limited
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transcriptome of the organisms (1 PDRA + 1 PhD student), which will be combined with geochemical data produce by this PDRA to inform computational modelling of biomineralisation processes (1 PDRA + 1 PhD student
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large, cross-disciplinary project involving measurements of the physiology and transcriptome of the organisms (1 PDRA + 1 PhD student), which will be combined with geochemical data produce by this PDRA
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Newcastle University are seeking to appoint a research professional to join the Geospatial Data, Analytics and Modelling team working on the application of urban development modelling. Your role will involve
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integration generated from genotyping, transcriptomics and metabolomics as well as various analytical techniquesThe specifics of the PhD study within the overall project will be developed and decided in
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. The position is planned to begin in the first quarter of 2025. For more information about the position please see contact information below Qualification requirements The applicant must hold a PhD degree or
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clinical meta-data. The goal will be to identify mechanisms of altered immune responsiveness in age and, ultimately, how they might be modulated. In doing this they will enhance their analytic skills, but
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Sciences, Tree Physiology, or related disciplines; Strong analytical and methodological skills, with a focus on quantitative data analysis (e.g., statistics, time-series analyses, model fitting); Proficiency