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of mathematics including linear algebra and partial differential equations. Ability to implement software solutions based on technical specifications provided by researchers. Excellent communication skills and
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analysis, including numerical linear algebra and high-order methods High performance computing and open source software libraries (For a full description of CCM research areas and scientific staff, please
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, control theory, data science, data driven methods, discrete mathematics, graph algorithms, high-performance computing, integral equations and nonlocal models, linear and multilinear algebra, machine
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machine learning and/or image analysis/computer vision A solid and documented background in machine learning, mathematics, linear algebra, and/or statistics Documented knowledge and experience in Python
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-documented code. Knowledge of mathematics including linear algebra and partial differential equations. Ability to implement software solutions based on technical specifications provided by researchers
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writing clean, efficient, and well-documented code. Mathematics skills including linear algebra and partial differential equations. Ability to implement software solutions based on technical specifications
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can also be considered given that the candidate has formal competence in machine learning and/or image analysis/computer vision A solid and documented background in machine learning, mathematics, linear
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in core machine learning theory—including statistics, optimization, and linear algebra—is desirable. The ideal candidate will have a proven ability to independently develop and execute research plans
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degree or currently working on finalizing master thesis in computer science, statistics, mathematics, data science, or related fields. Strong background in statistics and linear algebra. Foreign completed
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development, e.g., SDN and P4. 3. Must have taken coursework in calculus, linear algebra, probability and statistics, and possess experience in mathematical thinking and abstract reasoning. 4. Willingness