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. The HEXAPIC project aims to develop a novel high-performance Particle-In-Cell (PIC) code for plasma physics simulations, leveraging the capabilities of exascale computing systems. By optimizing PIC algorithms
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
or deploying research models * Familiarity with version control (e.g., Git), documentation of code and data workflows, and reproducible research practices * Experience identifying and troubleshooting data
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coding skills, experience in managing and development of software projects is a plus Your application Please send your application (including a motivation letter, your CV, up to two representative
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) Deciphering pathogenic coding and non-coding variants linked to congenital heart disease in a cell type-specific manner (Cell 2022), and 4) Combining iPSC-derived cells and single-cell perturb sequencing
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understanding of how neural coding and speech perception are degraded in individuals with Auditory Neuropathy Spectrum Disorders (ANSD) [1]. The project leverages physiologically-informed computational models
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to codebook review, variable coding, statistical analyses, and manuscript writing. Strong writing skills are essential, along with demonstrated independent thinking and problem-solving abilities. Experience
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) software (e.g., COMSOL, ANSYS, or custom FEM codes) Proficiency in one or more programming languages (e.g., MATLAB, Python, C++, Julia). Strong written and oral communication skills Ability to work
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, diversity, and inclusion (EDI) are a key component of the University’s Strategy and a central part of everything we do. We also live by our Purpose and Values and our Staff Code of Conduct. At Durham we
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, to identify promising research directions, to develop new research methods, to implement those methods in computer code, and to evaluate their performance on various data sets and applications. To take part in
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d) excellent written, oral communication skills e) strong data analysis skills. Ideal applicants will also have experience with some combination of: a) Machine learning e) code optimization and