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Field
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, research visits, and other activities to promote a strong multi-disciplinary and international network between PhD students, postdocs, researchers and industry. Work duties: The project focuses
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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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workforce demands and develop networks to ensure a constant flow of qualified candidates using various tools (e.g., social media, career fairs, agencies, recruiting vendors). Attend talent strategy meetings
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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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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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postdoctoral researcher to develop and deploy coupled X-ray computed laminography and X-ray diffraction methods for non-destructive 3D analysis of solid-state battery pouch cells. The role is embedded within
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data analysis, and to establish and manage a service infrastructure within the BioMS group, enabling fee-for-service access for external collaborators. You will independently design, plan and perform
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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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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 4 hours ago
applied mathematics, control, or related fields, with knowledge in several of the following areas: Graph theory and network modeling Dynamical systems and physical modeling (ODE/PDE, multi-agent systems