Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
-level calculus courses through multivariable calculus and linear algebra, a non-sectioned course taught independently, and possibly a graduate-level course. The teaching load will be two courses each
-
coursework. The ability to teach linear algebra is preferred but not required. Academic Environment and Faculty Support Teaching Faculty teach three courses (or 9 credit hours) per semester (a 3-3 load
-
/ [Work content and job description] 1. Research on the above area 2. Teaching undergraduate and graduate courses of the Department of Mathematics and basic courses on Linear Algebra and Calculus
-
/ [Work content and job description] 1. Research on the above area 2. Teaching undergraduate and graduate courses of the Department of Mathematics and basic courses on Linear Algebra and Calculus
-
follow specialized training programs (e.g. ARENA). Specific Requirements Knowledge: Linear algebra, probability and statistics. Graph theory and algorithms on graphs. Machine learning and deep learning
-
candidates hold a Master’s degree in Informatics, Mathematics, or a related field, and possess strong expertise in linear algebra, GPU architectures, and programming in C++ and Python. This is a 100% TVL E13
-
: Algorithms for optimisation, sampling, linear algebra and scientific computing; provable quantum speedups and rigorous analysis of their resource requirements. Quantum software, architectures and compilation
-
. The ability to teach linear algebra is preferred but not required. Academic Environment and Faculty Support GU-Q offers a rich academic setting supported by strong institutional resources to enable excellence
-
programs in mathematics, science, education, and engineering. Teaching responsibilities may include calculus, linear algebra, numerical analysis, discrete probability, mathematical modeling, and related
-
: strong foundations in linear algebra, probability theory, and calculus solid skills in programming interest in mathematical and statistical method development, good communication skills and sufficient