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techniques such as RT-PCR, seq-RNA, IHC, and FACS. • Experience of RNA-sequencing and data analysis. • Experience of working in dental pulp and mineralized tissues (tooth and bone). • Good oral and written
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-driven methods for structural analysis under multiphysics loading”. Expected start date and duration of employment This is a 4–year position from September 1st, 2025, or as soon possible. Job description
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
other sciences. A strong managerial, administrative, and technical staff supports this instructional mission. Duties of these employees range from budget planning and management for the numerous research
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
other sciences. A strong managerial, administrative, and technical staff supports this instructional mission. Duties of these employees range from budget planning and management for the numerous research
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Pacific Institute for the Mathematical Sciences | Northern British Columbia Fort Nelson, British Columbia | Canada | about 10 hours ago
discretizations and/or machine learning methods. The ideal candidate should have a strong background in numerical analysis, scientific computing, and/or scientific machine learning. We are particularly interested
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conjecture, -- Langlands program and related problems, -- algebraic geometry and complex geometry, -- partial differential equations and in particular Navier-Stokes equations, -- stochastic analysis
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to numerous preclinical research projects focused on the development of novel molecular magnetic resonance imaging (MRI)-based techniques for early detection, disease phenotyping and monitoring treatment
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techniques such as RT-PCR, seq-RNA, IHC, and FACS. • Experience of RNA-sequencing and data analysis. • Experience of working in dental pulp and mineralized tissues (tooth and bone). • Good oral and written
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
Geotechnical Engineering, Civil Engineering, or a related field, and should demonstrate strong expertise in at least two of the following areas: Large-deformation numerical modeling (e.g., Coupled Eulerian
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., COMSOL, ABAQUS, ANSYS) Expertise in electromagnetic theory and its coupling to continuum mechanical systems Proficiency in the numerical analysis of coupled electromechanical systems Strong publication