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(e.g., ball milling, high-pressure fracture experiments), magnetic-resonance-based characterization, geochemical analysis, microbial ecology approaches, alongside modeling hydrogen migration and storage
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Statistics we conduct research within the theory and implementation of biomathematics, biostatistics, spatial modeling, differential equations, Bayesian inference, large-scale computational methods
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and Statistics we conduct research within the theory and implementation of biomathematics, biostatistics, spatial modeling, differential equations, Bayesian inference, large-scale computational methods
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implementation of biomathematics, biostatistics, spatial modeling, differential equations, Bayesian inference, large-scale computational methods, bioinformatics, data science, machine learning, optimisation
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opportunity for you. HYDRA-EO focuses on the multi-scale detection of biotic and abiotic stress in Mediterranean crops using UAV hyperspectral and thermal imagery, radiative transfer modelling, agronomic field
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, but also to develop approaches to prevent damage. In the project we aim to develop a numerical model to predict root growth. Your task as a Postdoc researcher is to develop a measurement and monitoring
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to create Temporal and Spatial rescaling of satellite remote sensing data Geospatial Model automation with GeoAI with python script-based independent tools development to use in Models for Culvert
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improvement. Pursue and support grant-funded research through methodological design, analytic strategy, and dissemination. Conduct advanced statistical modeling (regression, multilevel, survival, and causal
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Microwave Spectroscopy system. This technology will unlock an unprecedented combination of ultra-high bandwidth and adaptable spatial resolution, allowing for the simultaneous, multiscale measurement
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contribute to projects using cutting-edge molecular, cellular, and spatial profiling approaches to dissect vascular and immune signaling across injury models. Key technologies and methodologies include