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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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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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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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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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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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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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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
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spatial resolution. The generated meshes are expected to be tested in different FEM solvers and demonstrated in the structural analysis of existing and novel UAVs. To meet the goals proposed, the work