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spatial and seasonal distributions of PFAS and identification of the key processes controlling their fate (dispersion, transformation, sediment retention). Contribution to modeling PFAS transport in
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on spatial remote sensing and geographic information systems (GIS). The new mathematical models developed as part of the Math-Vive PEPR will serve as a basis for building predictive analysis models and
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respond to diverse mechanical cues from their environment, including adhesion, stiffness, tension, shear, pressure, and confinement. These cues are integrated across wide spatial and temporal scales, from
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problem aims at estimating model parameters from input data, having access to a model describing how to generate the observations if the parameters to estimate were known. For instance, in optical remote
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the physical and chemical processes that define the functional state of a cell. Our goal: To make 4D (space plus time) computational whole cell models of bacterial, yeast, and mammalian cells. We are working
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anatomical modeling with mechanistic physiologically based pharmacokinetic (PBPK) models, enabling simulation of radiopharmaceutical distribution at sub-compartment level. By integrating high-resolution
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process models from the field of spatial statistics to model clustered patterns across the landscape, and develop methods for estimating plant population size and/or change. Qualifications: Requirements
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postdoctoral researcher focusing on mathematical modelling of data and statistics within the Czech Science Foundation Junior Star project Socio-Spatial Situatedness of Roman Professions and its Impact on
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. Developing relevant modelling tools to support comprehensive analyses of livestock systems. Assessing environmental impacts of current livestock production systems and evaluating potential outcomes from
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ecological modelling, spatial analysis, and interpretation of biological datasets. Demonstrated leadership of complex abalone field programs. Experience supervising HDR students, technical staff, and early