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at Princeton University seeks to appoint Lecturers to teach courses, sections, and/or do grading in linear algebra, calculus, or upper division math courses. Appointments may be made for one or two semesters
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and coding using either Python or Mathematica are essential. Experience with a computer algebra system such as Mathematica is an advantage. We are also looking for good written and verbal communication
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: Required: • MSc (or equivalent) in: Computer Science, Cybersecurity, Machine Learning, or related field • Strong background in: machine learning / deep learning, mathematics (probability, linear algebra
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first-year courses such as quantitative reasoning, precalculus, applied calculus and possibly more advanced courses such as linear algebra and differential equations. Non-teaching duties may include
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courses in the academic year with four (4) in the fall semester and four (4) in the spring semester (lower and upper level such as Calculus, Discrete Mathematics, Linear Algebra, and Differential Equations
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are essential. Experience with a computer algebra system such as Mathematica is an advantage. We are also looking for good written and verbal communication skills. The Gravitation and Cosmology Group at Sheffield
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optimization, numerical linear algebra, partial differential equations, inverse problems, and large-scale stochastic systems. Faculty apply these strengths to critical fields including energy systems, medical
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(8) undergraduate courses in the academic year with four (4) in the fall semester and four (4) in the spring semester (lower and upper level such as Calculus, Discrete Mathematics, Linear Algebra, and
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, which has significantly influenced its academic development. The successful candidate will: -Teach undergraduate and graduate mathematics and applied mathematics courses (such as calculus, linear algebra
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which currently range from Basic Mathematics and Basic Algebra through Multivariable Calculus, Differential Equations and Linear Algebra. Minimum Requirements To perform this job successfully, an