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the production of spatially granular and engineering driven representations of model results. Experience working across disciplines in multi-institution and multi-stakeholder collaborations is desirable
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dynamics that incorporates the effects of pesticides (from the above experiments) as well as spatial processes such as dispersal and species interactions.4. Bridge data and theory – Test model predictions
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will allow exploration of various forest configurations, including differences in tree density, species, and spatial distribution. Laboratory experiments will complement these models, using scaled-down
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. This involves the development of mathematical models for signal transmission/reception, derivation of performance limits, algorithmic-level system design and performance evaluation via computer simulations and/or
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and spatially complex nature of MRI signals. Each MRI examination involves multiple pulse sequences, with signal acquisition being sensitive to coil placement, sensor geometry, B0/B1 inhomogeneities
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University of Southern California Sol Price School of Public Policy Adjunct Instructor of Urban Planning Department of Urban Planning and Spatial Analysis The USC Sol Price School of Public Policy
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networks, and how these can be exploited for therapeutic intervention. We employ state-of-the-art in vitro and in vivo models to dissect cancer biology and develop new strategies to target key
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Professorship of Remote Sensing Applications (https://www.asg.ed.tum.de/rsa), Department of Aerospace and Geodesy, TUM School of Engineering and Design, focusses on methodological research on the analysis and
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bright points to solar jets, called spicules. The study will involve mathematical modelling complemented with observational data analysis using high spatial, temporal and spectral resolution solar
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evolutionary mechanisms: for example, heterozygote advantage (HA), negative-frequency dependent selection (NFDS) or spatially/temporally fluctuating selection (FS). Recently, new research showing that balancing