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: Computational, Quantitative, and Predictive Modeling of Root Systems. This position emphasizes integration of phenomics and other -omics data into predictive frameworks. Research areas may include: Structural
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macro- scales at IJL, and to train machine learning models to predict the microstructure evolution at larger scales and longer times at SIMAP lab and Laboratoire Analyse et Modélisation pour la Biologie
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biology, microbiology, environmental science and environmental engineering as well as disease ecology. The Linnaeus University centre in Ecology and Evolution in Microbial Model Systems (EEMiS) in Kalmar
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/ecological data analysis Experience in ecological modelling techniques (static and dynamic) using programming languages (preferably R) Experience participating in national or regional research projects
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Cornell University, CALS Ecology and Evolutionary Biology Position ID: Cornell-CALS Ecology and Evolutionary Biology-POSTDOCAGRAWAL [#31867, WDR-00057721] Position Title: Position Type: Postdoctoral
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). The desired candidate is an individual excited to address the modeling challenges necessary to develop novel ecological insights and information, data products, and tools. The focus of this position is to
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limited to) Biology (Ecology), Agriculture and Forestry, Environmental Science or Conservation Science; • Proficiency in R; • Proven skills (e.g. publications) in statistical modelling (e.g. use of R
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researchers across campus in ecological modeling, plant physiology, hydrology, environmental science and management, mechanical engineering, computer science, among others. The postdoctoral scholar will also be
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ASE is a diverse school focusing on the connections between geosciences, ecology, society and Earth systems. Our approach integrates these disciplines to examine big environmental challenges both in
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Development and implementation of morphodynamic models to define