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the occupational risks faced by inhabitants of the Roman Empire influenced their choice of preferred cults. The main methods used in the project include spatial analysis, predictive modelling, statistics, and the
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applications of advanced spatial data analysis methods, data collection, and interpretation of remote sensing data, database system theory, mapping, spatial data distribution, development of new cartographic
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Genetics in the laboratory of Dr. Steve Parker in the Departments of Computational Medicine & Bioinformatics, Human Genetics, and Biostatistics at the University of Michigan (http://theparkerlab.org ). We
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workflows. Qualifications PhD in Computational Biology, Genomics, Biomedical Engineering, Neurosciences, or related fields. Proven expertise in single-cell or spatial transcriptomic/proteomic data analysis
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of mathematics in Sweden. The department has three scientific divisions: Algebra and Geometry, Analysis and Probability Theory, and Applied Mathematics and Statistics and conducts successful research in pure and
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee Our department is looking for a Research
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to apply Website https://recruitment.irbbarcelona.org/jobs/6851235-data-analysis-expert-for-bioi… Requirements Research FieldComputer scienceEducation LevelMaster Degree or equivalent
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society are required. Knowledge and skills of GIS and spatial studies are considered advantageous. To apply, please submit your application at https://careers.purdue.edu and include the following materials
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geospatial services that support advanced mapping and spatial analysis workflows. The role also involves working with drone data streams, managing spatial databases, and developing processing and analysis
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Biology, or a related discipline Experience in multi-omics data analysis and handling big data Experience with single-cell and spatial transcriptomic analyses is a plus High motivation and curiosity