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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
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data summaries for potential publications (25%). Qualifications Required Qualifications: Coursework in introductory statistics, computer science, and linear algebra at the high school or university level
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- Mathematical & Statistical Foundations: Strong understanding of statistics, probability, optimization, linear algebra, and probabilistic modeling. - Programming & Software Development: Proficiency in Python
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, tensor analysis, and network science to foster the professional development of team members. Qualifications and experience essential PhD in Applied Mathematics in the fields of Numerical Linear Algebra
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calculus, linear algebra, probability and statistics, and possess strong proficiency in mathematical thinking and abstract reasoning. Cellular, biochemical, molecular experimental skills Experience working
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equations, linear algebra, and statistics. The department has B.S., M.S., and Ph.D. programs, with about 35 graduate students (the majority being doctoral students) and nearly 70 undergraduate majors
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in C++ and Python, including experience with the scientific Python stack (NumPy, SciPy) and linear algebra/matrix libraries. Proficiency in developing efficient, maintainable code for engineering
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analysis, advanced linear algebra, graph theory, measure theory, abstract algebra, combinatorics, and topology. The success of the department can be attributed in part to the fact that each of us subscribes
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development/engineering skills. · Mathematical proficiency, with a focus on subjects including linear algebra, vector calculus, optimization, and statistics/probability. TO APPLY: Please visit https
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for teaching, the teaching and learning of abstract and linear algebra, and the teaching and learning of proof. We are dedicated to excellent teaching and preparing strong PK - 12 mathematics teachers. CMU is an
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Statistics, multivariable calculus, and linear algebra Exploratory data analysis and visualization Data science / Machine Learning tools to include Pandas, PyTorch/TensorFlow, NumPy, MatPlotLib, PostGreSQL