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degree or equivalent experience in computing related disciplines; Extensive skills in programming in C, C++, Python, DL/ML/AI frameworks, CI/CD tools, version control systems, and Linux (kernels, file
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workflows, including data formats, handling Electron Microscopy Data Bank entries, performing map-model fitting. Proficiency in Unix/Linux environments and solid programming skills in Python and Bash
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 3 hours ago
Python programming. Experience guiding trainees in bioinformatics skills. Advanced knowledge of phylogenomic analyses and the use of site-profile mixture models in a Bayesian and Maximum likelihood context
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of the following: Python, C++, or Java - Successful experience developing software in either Windows or Linux environments - Experience with version control software such as Git - Willing to travel ~10% to remote
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MATLAB or Python and practical skill with both; and strong oral and written English communication skills. This appointment is funded jointly by The Fu Foundation School of Engineering & Applied Science and
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(for example, R, Python, or Matlab). Experience with graph modeling, Bayesian statistics, or causal inference is a plus. The candidate will join an integrated team of computational scientists, molecular
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computer science, electrical engineering, civil engineering, mechanical engineering, data science, artificial intelligence, or a related field • Strong Python programming skills • 0-2 years practical software
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, statistical thermodynamics, and scientific programming (using, for example, Python, Fortran, C/C++) Excellent oral and written English proficiency Good ability to work independently and to formulate and tackle
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. • You are capable of scientific programming in Python. • You have experience with supercomputing clusters and are well-versed in shell scripting. • You had exposure to cloud-based platforms like GitHub
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area. This position has a strong knowledge in analytics, is proficient in a general programming language (like Python) or a statistical package (R) and has an appetite for engaging in non-quantitative