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Field
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modeling. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining. • Experience with analysis of time series data. • Solid
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of non-canonical DNA. Candidates with an interest in non-B DNA and/or in the analysis of mammalian evolution are particularly encouraged to apply. The successful candidate will join an established dynamic
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 21 hours ago
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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. Key responsibilities include: Simulating regional air quality using numerical models (e.g., WRF-Chem, CMAQ) Improving wildfire emission estimates and smoke plume rise representation Evaluating model
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academic and professional qualifications Proven research experience in the field of modelling and analysis of biological networks Solid foundation in mathematics and algorithmic design Strong programming
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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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optogenetics, light-controlled gene expression systems, and photoreceptors. Familiarity with metabolic modeling (e.g., COBRA methods), genome-scale modeling, or flux balance analysis. Experience with Raman
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.” The successful candidate will provide crucial numerical modeling support for the NSF-funded MOTIVE (Mixing belOw Tropical Instability waVEs) project, a large national collaboration of observational scientists
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 29 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 | 2 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