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Field
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ecology · Cancer metabolism or immunometabolism · T-cell, NK-cell, B-cell, and myeloid-cell biology · Microbiome, virome, and host–microbe interactions · Tissue immunity in
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systems, and spatial aggregation or interpolation across mismatched administrative and ecological units. An interest or experience in using machine learning or AI tools with environmental or socioeconomic
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admission requirements I.I - Grant Recipients: Master’s degree holders, in the scientific area of Biology, Ecology, Agroecology, Environmental engineering, Physical geography, Spatial planning or related
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the field of ecosystem research and landscape ecology, especially in the Alpine region in the context of global change Own research (participation in research projects for writing a dissertation) in the
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postdoctoral fellow in Spectroscopy You will conduct cutting-edge research at the intersection of BioImaging, BioOptics, and seaweed ecology for species recognition with collection material. You will develop a
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rugged field tablets and QGIS software for ecological data entry, management, and spatial analysis. Apply field safety, endurance, and logistical practices associated with extended ecological research in
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focus on advanced spatial and environmental data analysis. Based at Queen’s University Belfast and working closely with Technological University Dublin, the Research Fellow will contribute to a dynamic
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three Tasks: - “Task 1: Environmental pressures and impacts induced by raw materials”, consisting in a thorough review of existing spatially-explicit data on environmental pressures induced by raw
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for, including health insurance, retirement plans, and paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link: https://resources.uta.edu/hr
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dynamic marine biologist whose research advances understanding of marine organisms, habitats, or ecosystems at any spatial, temporal, or organizational scale, including molecular, cellular, physiological