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/Administrative Internal Number: JR93315 Scheduled Hours 40 Position Summary Our laboratory is focused on the interactions of sex, cancer biology, nutrition, and metabolism. We are looking for a motivated
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of stochastic perturbations of fluid dynamic equations related to convection. Close interaction with other MPI MiS groups, especially "Applied Analysis" (László Székelyhidi) and "Pattern Formation, Energy
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, and sustainability-focused portfolios. Research activities will broadly focus on understanding contaminant–water–polymer interactions and material–microbe interactions at the molecular and interfacial
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at The Technical Faculty of IT and Design invites applications for a fully funded PhD stipend in the area of Human-Computer Interaction, generative AI, creativity research and knowledge worker studies. The position
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The University of North Carolina at Asheville | Asheville, North Carolina | United States | 13 days ago
Internal Number: 8846 UNC Overview : Located in the Blue Ridge Mountains in Western North Carolina, UNC Asheville is the designated public liberal arts campus in the University of North Carolina system. UNC
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the interaction design and usability testing for enterprise-level web and software projects. Translate research insights, analytics, and stakeholder goals into actionable design elements including
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spray-drying and freeze-drying, linking molecular/colloidal interactions in the feed formulation to process-driven microstructure, and ultimately to stability and release kinetics. The work will deliver
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focus on the Small Modular Reactors (SMRs). These are advanced nuclear reactors with a capacity of up to 300 MW(e) and several important features. First, given their specific design, they are suitable
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Instructional Design Librarian. This position serves a dual role as a librarian participating in multimodal library and information literacy instruction and as an instructional design specialist directly
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and related environmental matrices. About the position The main objective is to design and implement suspect and non-target screening workflows using LC-HRMS/MS to detect, prioritize, and characterize