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Field
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immunology and bioinformatic analysis (e.g., scRNA-seq) (highly desirable). Skills in in vivo models are an advantage. Ability to work independently and collaboratively within a diverse, international team
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based on an individual-centered spatial analysis approach (geomatics) using AgentBased Modeling to model mobility and its evolution. The postdoctoral researcher will intervene in the second phase
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of/on networks with higher-order interactions. This will be in collaboration with an NSF-funded ASU-UCLA team using ants as a model system and developing theory to characterize dynamic processes on networks as
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combination of sedentary and active work. Duties include extended periods of computer use for programming, data analysis, and writing. The role also requires setting up and managing experimental studies in
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The Energy Systems Analysis Group (https://acee.princeton.edu/research/energy-systems-analysis-group/) at the Andlinger Center for Energy and the Environment invites applications for postdoctoral
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related to social network analysis. For the project information and job inquiries, please contact the Principal Investigator: Dr. Zhou Jiajia at email: jiajia_zhou@hkbu.edu.hk . The initial appointment will
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quantitative analyses (e.g., network and hypergraph models) with qualitative discourse analysis to link community debates to observed behavioral changes. Co-author and present scholarly publications and
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), Multilayer Perceptron (MLP), Autoencoders, Convolutional Neural Networks (CNNs), and Kolmogorov–Arnold Networks (KANs). Desirable knowledge of Gradient Boosting models such as HistGBM, LightGBM, and XGBoost
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and metabolic adaptation Identify and characterize miRNA target genes and regulatory networks using complementary molecular and bioinformatic approaches Integrate epigenetic, transcriptomic and
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entrainment, physicochemical processes, and interactions between ice sheets and their beds. Recent advances in LA-ICP-MS now enable the spatially resolved analysis of major and trace elements at the scale