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Field
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, or similar disciplines Graduate students expecting to receive their PhD within six months can also apply Experience in the advanced analysis of genetic or proteomic data Interest in learning methods
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seeks to recruit a Postdoctoral Associate to work in the field of geotechnical engineering. Required Qualifications: The ideal candidate will hold a PhD in Geotechnical Engineering, Civil Engineering, or
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Duties and Responsibilities: -You will be responsible for performance of routine quality control (QC) testing such as bioburden, endotoxin, and microbial ID analysis. -In this context, you might be
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 21 days 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 | 1 day 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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engineering, and have a strong background in numerical analysis and scientific computing. Required qualifications include basic knowledge of numerical methods for PDEs, expertise in High Performance Computing
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-performance computing (HPC) environment Perform data analysis and visualization Perform machine learning and inverse design techniques Train and supervise masters and doctoral students Coordinate research with
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, and microbial ID analysis. -In this context, you might be expected to generate new research ideas and lead development of new research proposals. -You will also be expected to design and develop a
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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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, and academic institutions. Required Qualifications PhD in one of the following fields: smart urban systems engineering, computer science applied to urban infrastructure, data science, or a related field