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Field
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data science, machine learning preferred. - Strong programming skills in R and/or Python required. We invite applications from qualified candidates who share our commitment to employment equity and
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of their service lives), statistics, emerging data science tools and techniques A demonstrated ability to use a statistical programming language such as R or Python for non-linear data fitting, and optimization
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Computational Biology, Bioinformatics, Computer Science or Machine Learning related field Demonstrated proficiency with Python, and machine learning libraries; pytorch, sklearn Experience with transformer
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programming languages such as Perl, C, or Python; 2) experience with bioinformatics tools and platforms, such as GATK, BLAST, deepvariant, samtools, etc.; 3) familiarity with statistical analysis and data
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) proficiency in programming languages such as Python and C++; (c) demonstrated ability to conduct independent research and contribute to collaborative projects; and (d) excellent problem-solving skills and
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distribution systems, EV charging modeling, distributed energy resources, optimization, control, machine learning, hardware-in-the-loop simulation. Expertise in programming languages such as Python, C
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. Possess relevant hands-on experience in Python, Java, C++ etc. and corresponding development environments.
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or more computational environments for statistical analysis (e.g., MATLAB, Stata, R, or Python); Creating and managing very large datasets; Machine learning skills; Writing papers for management and
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Expertise in scientific computing, including proficiency in C++ or Python programming Fluent oral and written communication skills in English Desired qualifications: It will be an advantage that candidates
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(Python, JavaScript), deep neural networks and computer vision; Design and implementation of database systems; Design and implementation of application programming interfaces, server-based and cloud