High performance computing
High performance computing and techniques to gain efficiency (through change in computer architecture, parallel algorithms etc.)
Computational science and engineering (CSE) is a relatively new discipline that deals with the development and application of computational models and simulations, often coupled with high-performance computing, to solve complex physical problems arising in engineering analysis and design (computational engineering) as well as natural phenomena (computational science).
CSE has been described as the "third mode of discovery" (next to theory and experimentation).[1] In many fields, computer simulation is integral and therefore essential to business and research.
Computer simulation provides the capability to enter fields that are either inaccessible to traditional experimentation or where carrying out traditional empirical inquiries is prohibitively expensive. CSE should neither be confused with pure computer science, nor with computer engineering, although a wide domain in the former is used in CSE (e.g., certain algorithms, data structures, parallel programming, high performance computing) and some problems in the latter can be modeled and solved with CSE methods (as an application area).
High performance computing and techniques to gain efficiency (through change in computer architecture, parallel algorithms etc.)
Data Science for developing methods and algorithms to handle and extract knowledge from large scientific data
Algorithms for solving discrete and continuous problems
Analysis and visualization of data
Numerical and applied linear algebra, initial & boundary value problems, Fourier analysis, optimization
Building and testing applications of computational models.