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Field
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and develop frameworks and knowledge on planning and coordination of resources within and across projects. apply quantitative methodologies, such as simulation and analytical modelling, to develop
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statistical methods (e.g. linear and generalized mixed-effects models, growth curve analysis and structural equation modeling). Familiarity with the opioid and endocannabinoid system and topics related
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the field and greenhouse. You have experience using modern approaches in root phenotyping, image analysis, or simulation modeling to understand the functional roles of plant roots in agroecosystems. You have
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develop data-inspired and data-driven models of sarcomere assembly. This will involve mean-field models and agent-based simulations. Additionally, depending on your aptitude, you can analyze topological
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linked data Sensors as part of Internet of Things (IoT) and integration of sensory information in simulation models as part of Digital Building Twins (DBT) during run-time Life cycle and sustainability
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dedicated experiments (e.g., flares vs. chaff). Providing observational constraints on turbulence and thermal effects to improve the representation of microphysical processes in model simulations
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the pathogenic mechanisms of amyotrophic lateral sclerosis (ALS)/frontotemporal dementia (FTD) using in vitro & in vivo (mouse and fly) models. We develop stem cell-based models for these neurodegenerative
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optimization and simulation models. Skills in a major programming language such as Python A collaborative team player with a desire to make a personal impact within our interdisciplinary research group and our
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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computational models that learn by finding patterns in language data. Can they learn the different modal meanings simply by paying attention to what they “hear”? Or do they need to come prepared with certain