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Field
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manipulation studies in collaboration with an interdisciplinary science team. Develop automated data acquisition, calibration, and quality assurance workflows. Develop inversion methods for estimating spatial
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Group focuses on biodiversity research, population ecology, and spatial ecology, with the aim of generating scientific knowledge useful for conservation and the sustainable management of agricultural
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Full time, 2 years fixed term, located on the Camperdown Campus at the School of Mathematics and Statistics Opportunity to contribute to cutting-edge statistical research and be part of a multi
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team. Perform spatial integration (alignment, upscaling/downscaling) for comparative analyses. Assess the distribution of modeled exposures and health impacts across population subgroups. Contribute
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for reservoirs and dams with return periods of up to 10.000 years. The tasks include adapting extreme value statistics methods using spatial information, applying hydrological models to simulate extreme floods
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statistical and simulation-based methods for estimating design floods for reservoirs and dams with return periods of up to 10.000 years. The tasks include adapting extreme value statistics methods using spatial
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study how tumor-intrinsic genetic alterations and spatially organized microenvironmental niches jointly shape metastatic progression and therapy response in colorectal cancer. The project is strongly
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candidates able to conceptualize and statistically or mathematically link processes occurring at different spatial or temporal scales, or across levels of ecological organization (e.g., upscaling of microbial
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molecular pathology — immunohistochemistry, whole-slide imaging, tissue-microarray design, digital and computational pathology, or spatial molecular profiling — with applicability across multiple tissue types
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of vibrational probes to increase contrast. Yet, in practical applications, MIP often lacks sensitivity, spatial resolution and the ability to accurately quantify specific chemicals in complex samples. The project