Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
developing applied courses in areas such as math modeling, applied linear algebra, and/or actuarial and data science. An ability to teach at the graduate level in our Master of Science in Data Science program
-
are offered annually ranging from pre-algebra through linear algebra, differential equations, and discrete math. These courses support professional technical programs, transfer degree programs, and four-year
-
mathematics offerings (e.g. general education mathematics, calculus, linear algebra, statistics). Develop and revise cutting-edge programs in support of both Data Science and Mathematics curricula. Serve in
-
on Mathematics (Analysis) 2. Teaching undergraduate and graduate courses of the Department of Mathematics and basic courses on Linear Algebra and Calculus of the Institute 3. Expected to be actively involved in
-
: discrete mathematics, algorithms and data structures, probability theory, and linear algebra; Research experience in theoretical computer science documented by publications in reputable industry journals
-
development of team members. Qualifications and experience essential PhD in Applied Mathematics in the fields of Numerical Linear Algebra, or equivalent. Prior experience on the subject is highly desired. Where
-
graph theory, complex dynamical systems, computational mathematics, data science, difference equations, financial mathematics, mathematical biology and modeling, numerical analysis, numerical linear
-
, statistics, calculus, and linear algebra); Have strong communication, presentation and writing skills; Enjoy working in a multidisciplinary research environment; Are highly motivated and creative; Have an
-
mathematical foundations, including linear algebra, control theory, statistics, and probabilistic methods. *Please note that the successful candidate will be required to undergo an academic qualification check
-
: General Mathematics: This skill-based course introduces the mathematical skills required for further tertiary study developing knowledge of linear algebra, networks, vectors, matrices, measurement and