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CHEE 370 or its equivalent Computational Methods in Chemical Engineering (CHEE390): Excellent knowledge of MATLAB CHEE400: Having taken CHEE400 or equivalent courses in Energy Science , Renewable Energy
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data analysis skills in: R and Python: development of automated workflows, statistical modeling, data visualization. MATLAB (preferred but not essential): particularly for legacy data handling
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models) - Survival analysis (Cox models, competing risks) - Demonstrated knowledge of R - Familiarity with Matlab, SPSS and similar programs are an asset - Excellent verbal and written communication
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exercises using such program languages as Python or Matlab ESYS 300 Earth Data Analysis Key Responsibilities • Possibility to attend lectures, help student during labs and give occasional lecture
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understanding and programming ability in Matlab. Good oral and written communication skills. Hiring Unit: Biomedical Engineering Course Title and Course Number: BMDE 519 - Biomedical Signals and Systems Estimated
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listed functions. Other Qualifying Skills and/or Abilities Ability to work collaboratively in a team environment Strong technical writing skills Familiarity with MS Office and/or MATLAB/Octave Previous
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file formats (e.g., BIDS, NIfTI, DICOM) and image acquisition parameters. Proven track record of working with programming/scripting languages (e.g., Python, Bash, MATLAB) for image processing and
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with molecular biology, scRNAseq/ATACseq, in vivo 2-photon live imaging, and mouse behavior Experience with coding is an asset (e.g., R, Python, MATLAB). Ability to work independently and as part of a
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-photon live imaging, and mouse behavior Experience with coding is an asset (e.g., R, Python, MATLAB). A strong track record with neuroscience research in peer-reviewed journals. Ability to work
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chapters 1, 2, 3, 4, 5, 6, 8, and 9, in the book Geochemistry by W.M. White and published by Wiley-Blackwell, Oxford, in 2013. Must have at least basic knowledge of Matlab. EPSC 221 General Geology Position