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- statistical techniques used in spatial data analysis - scientific programming, e.g. Matlab, R, Python or Julia - designing and/or conducting field measurement campaigns in atmospheric
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conferences to stay current in the research field · Enhancing technical skills through continuous learning of new methodologies, software, or statistical techniques Required Qualifications · Ph.D
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the job funded through the EU Research Framework Programme? Horizon Europe Is the Job related to staff position within a Research Infrastructure? No Offer Description The Centre d’Études Spatiales de la
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geospatial information (land use and cover, biophysical, climate, management practices, etc). • Contribute to the development of spatial and statistical models that describe the interactions between soil and
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evolutionary mechanisms: for example, heterozygote advantage (HA), negative-frequency dependent selection (NFDS) or spatially/temporally fluctuating selection (FS). Recently, new research showing that balancing
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) at the Dana Farber Cancer Institute (DFCI) seeks a highly motivated Scientist II or Senior Scientist to support advanced analytics and data integration efforts across imaging, spatial proteomics, and high
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data analysis, the use of computational, statistical, and data scientific approaches for interdisciplinary research, and data integration involving both spatial and non-spatial data. We expect candidates
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interests, which include scalable Bayesian methods, spatial statistics, and statistical methods for massive or complex data, in general, and high-dimensional data analysis, statistical machine learning
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School. Responsibilities will span all stages of research, including collecting data of in both tabular and spatial formats, developing algorithms that clean and organize data, conducting statistical
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transplant rejection through cutting-edge spatial multi-omics and computational metabolic modeling. The role involves developing and implementing computational methods to integrate single-cell and spatial