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, MCNP, Serpent, OpenMC, and/or MOOSE and familiarity with reactor systems and concepts. Programming/scripting experience including the use of one or more of C/C++, Python, Fortran, Git, and CMake an asset
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communication skills, including preparation of manuscripts and scientific presentations. Experience with programming or quantitative analysis tools (e.g., MATLAB, Python, R, Spike2, or related platforms) is desirable
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at conferences. We are looking for: Ph.D. in Materials Science, Chemistry, Physics, Computer Science, or a related field. Demonstrable strong Python programming (programming portfolio required). Experience with
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analyze multi-omic data provided by our collaborative partners and interpret the results from a biologically relevant perspective. Planned activities include Python code development, the analysis and
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analysis. Excellent programming skills in Python and experience with deep-learning frameworks (preferably PyTorch). Experience developing, training, validating, and optimising machine-learning models
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intracranial EEG data from animals. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements computational pipelines using MATLAB, Python, or similar
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Proficiency in R and/or Python for data analysis is a plus Record of research productivity and publication Motivation to start or continue in benign urology research Written and verbal communication skills
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bacterial genome analysis and comparative genomics. * Skills in bioinformatics applied to genomic data analysis. * Experience in data analysis and visualization, particularly using R and/or Python. * Ability
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Proficiency in scientific computing using R, Python, or a comparable language, including experience developing reproducible analytical workflows, as demonstrated by presentations, publications, and/or
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-to-end GPU timing; document limitations and extrapolation behavior. Implement, test, document, and maintain open-source Python/JAX research software; collaborate with researchers to connect trained models