10 of 10 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 ...

driven imaging systemsSolid foundation in computer vision, machine learning, and statistical signal processingSolid math background with deep understanding of 3D geometry, probability, statistics, and linear algebraAbility to transform ideas into clean, fast and reliable codeAttention to detail, strong desire for quality and good communication skillsOutstanding problem solving skillsMinimum QualificationsExperience ...

Essential: Must hold the right to work full-time in the United Kingdom Desirable (Not Essential) Introductory experience with GPU programming frameworks Familiarity with linear algebra, numerical computing or signal processing basics Technical portfolio, open-source contributions or personal coding projects Package & Benefits Competitive starting salary, structured review ...

setting up branching strategies, automated testing, and code review practices for a project team using Visual Studio and Git . Strong applied mathematics, including linear algebra, coordinate transformations, kinematics , and the error analysis needed to build accuracy budgets. Hands-on experience integrating 6-axis industrial robots (Fanuc ...

setting up branching strategies, automated testing, and code review practices for a project team using Visual Studio and Git . Strong applied mathematics, including linear algebra, coordinate transformations, kinematics , and the error analysis needed to build accuracy budgets. Hands-on experience integrating 6-axis industrial robots (Fanuc ...

some of the following fields: radar, signal & image processing, radar and/or EO/IR environment models, digital communications, probability and statistics, linear algebra, estimation theory, optimal control, system architecture, inertial navigation, guidance theory What We Offer Our values drive our actions, behaviors, and performance with ...

some of the following fields: radar, signal & image processing, radar and/or EO/IR environment models, digital communications, probability and statistics, linear algebra, estimation theory, optimal control, system architecture, inertial navigation, guidance theory What We Offer Our values drive our actions, behaviors, and performance with ...

some of the following fields: radar, signal & image processing, radar and/or EO/IR environment models, digital communications, probability and statistics, linear algebra, estimation theory, optimal control, system architecture, inertial navigation, guidance theory What We Offer Our values drive our actions, behaviors, and performance with ...

Programming and data structures Experience developing in Linux environments Experience debugging C++ software applications Experience with inter-process communication (IPC) mechanisms Working understanding of linear algebra Familiarity with revision control, documentation, planning, and review systems like Git Familiarity with Agile software development practices and related tools such ...

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 ...