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Hazards and Risk, spatial analysis and landslide modeling Interest in the systematic investigation of real and potential consequences of landslides on societal systems in the sense of consequence analyses
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a unique opportunity to join a world-class team dedicated to understanding and advancing the field of cancer immunology through innovative spatial analysis of the tumor microenvironment. Requirements
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grasslands and evaluation of land-use intensity, Expertise in classification with machine-learning methods, statistics, spatial analysis and land-use modeling, Experience and interest in conducting fieldwork
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the conceptual, historical, and geographical scope of the analysis of human-reef relationships in order to propose systemic and operational management measures tailored to specific needs. We want to develop
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preference given to candidates with experience teaching courses in quantitative and spatial analyses, archaeological field and laboratory methods, and managing cultural resources such as archaeological sites
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inside and outside the department. Your duties: you develop innovative research using spatial analysis and modelling you teach in general and more specialized Environmental Science courses that are part of
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also demonstrate knowledge in the spatial analysis of GPS data, with the ability to process and interpret information obtained from tracking devices. The fellow will directly support the experimental and
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imaging and microscopy methods, and perform computational data analysis. Previous experience in translational cancer biology or immunology, spatial biology, and microscopy are preferred but not required
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with 1000× increase in time resolution and 10× improvement in spatial resolution over prototypes. Such an instrument enables to measure the structure of heterogeneous systems including ageing concrete
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-throughput biological datasets Experience with analysis of proteomics or spatial transcriptomics experiments is a plus Sound statistical knowledge and fluent programming skills using R/Bioconductor and/or