26 to 39 of 39 Numerical Analysis Jobs in the UK

data for rare events and edge cases. applying domain randomisation techniques to generalise training outcomes. evaluating sim-to-real transfer performance. Perform statistical and numerical analysis to evaluate model performance, failure modes, and robustness in field conditions. Collaborate with robotics, embedded, and software teams to ensure ML systems ...

data for rare events and edge cases. applying domain randomisation techniques to generalise training outcomes. evaluating sim-to-real transfer performance. Perform statistical and numerical analysis to evaluate model performance, failure modes, and robustness in field conditions. Collaborate with robotics, embedded, and software teams to ensure ML systems ...

data for rare events and edge cases. applying domain randomisation techniques to generalise training outcomes. evaluating sim-to-real transfer performance. Perform statistical and numerical analysis to evaluate model performance, failure modes, and robustness in field conditions. Collaborate with robotics, embedded, and software teams to ensure ML systems ...

data for rare events and edge cases. applying domain randomisation techniques to generalise training outcomes. evaluating sim-to-real transfer performance. Perform statistical and numerical analysis to evaluate model performance, failure modes, and robustness in field conditions. Collaborate with robotics, embedded, and software teams to ensure ML systems ...

data for rare events and edge cases. applying domain randomisation techniques to generalise training outcomes. evaluating sim-to-real transfer performance. Perform statistical and numerical analysis to evaluate model performance, failure modes, and robustness in field conditions. Collaborate with robotics, embedded, and software teams to ensure ML systems ...

data for rare events and edge cases. applying domain randomisation techniques to generalise training outcomes. evaluating sim-to-real transfer performance. Perform statistical and numerical analysis to evaluate model performance, failure modes, and robustness in field conditions. Collaborate with robotics, embedded, and software teams to ensure ML systems ...

data for rare events and edge cases. applying domain randomisation techniques to generalise training outcomes. evaluating sim-to-real transfer performance. Perform statistical and numerical analysis to evaluate model performance, failure modes, and robustness in field conditions. Collaborate with robotics, embedded, and software teams to ensure ML systems ...

data for rare events and edge cases. applying domain randomisation techniques to generalise training outcomes. evaluating sim-to-real transfer performance. Perform statistical and numerical analysis to evaluate model performance, failure modes, and robustness in field conditions. Collaborate with robotics, embedded, and software teams to ensure ML systems ...

data for rare events and edge cases. applying domain randomisation techniques to generalise training outcomes. evaluating sim-to-real transfer performance. Perform statistical and numerical analysis to evaluate model performance, failure modes, and robustness in field conditions. Collaborate with robotics, embedded, and software teams to ensure ML systems ...

data for rare events and edge cases. applying domain randomisation techniques to generalise training outcomes. evaluating sim-to-real transfer performance. Perform statistical and numerical analysis to evaluate model performance, failure modes, and robustness in field conditions. Collaborate with robotics, embedded, and software teams to ensure ML systems ...

data for rare events and edge cases. applying domain randomisation techniques to generalise training outcomes. evaluating sim-to-real transfer performance. Perform statistical and numerical analysis to evaluate model performance, failure modes, and robustness in field conditions. Collaborate with robotics, embedded, and software teams to ensure ML systems ...

data for rare events and edge cases. applying domain randomisation techniques to generalise training outcomes. evaluating sim-to-real transfer performance. Perform statistical and numerical analysis to evaluate model performance, failure modes, and robustness in field conditions. Collaborate with robotics, embedded, and software teams to ensure ML systems ...

data for rare events and edge cases. applying domain randomisation techniques to generalise training outcomes. evaluating sim-to-real transfer performance. Perform statistical and numerical analysis to evaluate model performance, failure modes, and robustness in field conditions. Collaborate with robotics, embedded, and software teams to ensure ML systems ...

something that’s set to transform ultrasound testing worldwide, this is your chance. Key Responsibilities 1. Develop, maintain, and improve our Python-based image analysis code. 2. Developing and maintaining our web and mobile app built with React — improving usability, performance, and design of our current version. 3. Implement … 1. Bachelor's in Computer Science, Software Engineering or a related field. 2. Experience with image processing libraries (e.g. OpenCV, PIL, scikit-image) or numerical analysis (NumPy, SciPy). 3. Solid understanding of React/JavaScript/Typescript for web or mobile app development. Desirable skills/requirements ...