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and implementing statistically valid field-based soil research, including proficiency in statistical analysis and data interpretation using modern software (e.g., R, Python). Excellent communication and
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Socio-Natural Hazards and Risks. STRENGTH is a multidisciplinary platform, involving colleagues from physical geography, spatial data science, environmental economics and environmental psychology
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learning, statistics, data science, applied math and/or other quantitative backgrounds who are enthusiastic about bringing their expertise to address fundamental problems in biology and medicine using
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Statistics or Mette Olufsen or Kevin Flores from Mathematics. Applicants with experience in Bayesian modeling, spatial statistics, mathematical modeling, data integration, uncertainty quantification and/or
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in bioinformatics of spatial transcriptomics, scRNA seq Proficiency in statistical methods for data analysis, including a strong understanding of statistical principles Solid foundation in Biological
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. The content of the research activity: Archeometallurgical analyses SEM-EDS microscopy and chemical composition analysis of iron artifacts, slags, and ores GIS spatial analysis, statistical analysis, and network
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disparities, and/or population aging. Candidates giving attention to spatial disparities or dimensions of these issues are encouraged to apply, though it is not a requirement. The successful candidate will also
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statistically based studies cover a wide range of spatial scales, from regional (national), continental (European) to global, and address the detection, drivers, prediction and impacts of hydrological extremes
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we use include standard cell and molecular biology techniques, flow cytometry, microscopy (standard imaging and FRET, FLIM, FRAP), high throughput genetic and chemical screens, single cell and spatial
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also collaborate with student research assistants and postdoctoral associates. Data for these projects is accessed through the Federal Statistical Research Data Center (FSRDC), which requires