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via GitHub repository) in statistical analysis and modelling using R or Python with open source code Experience with high performance computing environments, particularly Digital Alliance Canada
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modeling expertise, including code development experience related to one or more of the following: 1) Flow and reactive transport in fractured porous media 2) Geomechanics and fracture propagation in
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, neural engineering, and data analytics. Among the key duties of this position are the following: Collecting behavioral and electrophysiological data in the clinical environment. Writing replicable code
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by our values and our Staff Code of Conduct. At Durham we actively work towards providing an environment where our staff and students can study, work and live in a community which is supportive and
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(or most) of your code may be open source and may be added to your public CV, depending on the needs of researchers. Fixed-term contract until 29.2.2028. All other standard benefits of Aalto as an employer
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of the auditory pathway using multi-electrode arrays. Requirements We are looking for individuals who want to study neural coding in the context of hearing and who meet the following criteria: 1) PhD in
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machine learning expertise, with the goal to enhance predictive capability and scalability of multi-scale and multi-physics simulation codes. Perform high-fidelity CFD simulations of complex physical
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, staff, and student communities, and articulates that commitment in the UW Diversity Blueprint (http://www.washington.edu/diversity/diversity-blueprint /). Additionally, the University's Faculty Code
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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