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experience parallelizing serial computational applications. Strong background in data analytics. Proficiency with one or more of Python (NumPy/SciPy/Pandas), R, MATLAB, etc. Familiarity with containers such as
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 12 days ago
; strong physical, mathematical, and computational background; experience with programming in at least one general-purpose language (preferably Julia) and parallel computing; demonstrated effective written
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(MRI). The research will be of practical relevance to current societal challenges related to education and health. The C-LaBL Mentorship Program will provide a comprehensive training scheme to a
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, or workshops. Knowledge, Skills and Ability: Ability to program in multiple programming languages like C/C++, FORTRAN, Python, R or similar scientific programming languages. Knowledge of parallel programming
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. The Department has grown substantially in the past 15 years, from 40 to 150 faculty in parallel with the remarkable growth of our hospital-based affiliated systems. Our work is evidence based and focused
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experience parallelizing serial computational applications. Strong background in data analytics. Proficiency with one or more of Python (NumPy/SciPy/Pandas), R, MATLAB, etc. Familiarity with containers such as
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parallelizing serial computational applications. Experience in data analytics. Proficiency with one or more of Python (NumPy/SciPy/Pandas), R, MATLAB, etc. Familiarity with containers such as Singularity