4 of 4 Permanent Linear Algebra Jobs

improve large-scale modelling and simulation applications. Investigate new HPC technologies, GPU architectures and computational approaches. Apply mathematical techniques, including numerical methods and linear algebra, to scientific computing challenges. Improve software performance, scalability and computational efficiency. Collaborate with researchers, computational scientists and software engineers to deliver innovative solutions. … with C++ or another compiled language, ideally alongside Python. Experience developing computationally intensive, numerical or scientific software. Good understanding of mathematical modelling, numerical methods, linear algebra or scientific algorithms. Experience working with HPC systems, parallel computing or large-scale computational environments. Strong working knowledge of Linux/UNIX ...

reliable outputs. Requirements Strong programming skills in C/C++, Python, and software design Strong foundation in mathematics and theoretical computer science, such as linear algebra, calculus, graph theory, computational geometry, combinatorial optimization algorithms, stochastic processes, and complexity analysis. Possessing solid engineering discipline, or demonstrating strong interest ...

reliable outputs. Requirements Strong programming skills in C/C++, Python, and software design Strong foundation in mathematics and theoretical computer science, such as linear algebra, calculus, graph theory, computational geometry, combinatorial optimization algorithms, stochastic processes, and complexity analysis. Possessing solid engineering discipline, or demonstrating strong interest ...

Fault Tolerant Quantum Computers, hybrid quantum-classical workflows, classical circuit simulation using High Performance Computers. Application areas include Quantum Chemistry and materials design, Quantum Linear Equation Solvers, state and matrix loading, block encoding, measurement observables and state reconstruction including machine learning and data science. The team aims to radically … applications. Simultaneously, we will expand our use of High-Performance Computing with more demanding emulations using national and international supercomputers. For Quantum Linear Equation Solvers, this will build on our existing expertise in Quantum Singular Value Transformation and extend into new areas such as solving time-dependent PDEs ...