4 of 4 Permanent Error Analysis Jobs in the South East

interaction.JOB DUTIES AND RESPONSIBILITIESDefine, design, implement, and maintain measurement/test solutions for link/modem validationDefine and analyze calibration and metrology aspects (statistical error analysis, confidence levels, error budgets)Develop modular, reusable software in Python (or similar languages) to be implemented in a variety of setupsAnalyze … layer satellite modem algorithms/standards (DVB-S2, CCSDS)Experience in collaborative software design (GIT, code reviews)Experience in test automationLinux and Windows experienceStatistical analysis and metrologyCesiumAstro considers several factors when extending an offer, including but not limited to, the role and associated responsibilities, a candidate’s work experience ...

deepen understanding of AR waveguide physicsBuild and apply models of optical and physical phenomena to interpret lab experimentsDesign, build, and automate optical setupsRun experimental analysis of waveguides using both proprietary and commercial toolsPerform root cause analysis of failures of waveguide displaysPerform experiments on diffractive nanostructures to make improvements … optics, imaging, radiometry, photometry, colorimetry, statistics etc.)Solid understanding of polarization theory and experimental techniquesExperience with interferometry and phase retrieval methodsStrong scripting and data analysis skills in Python (or similar)Proficient in error analysis of experimentsExperience working in an optical lab environment, hands-on experience setting ...

robust evaluation datasets, metrics, and validation frameworks. Build and deploy classification, matching, and inference models for production use. Measure model performance and produce detailed error analysis to support ongoing improvement. Apply LLMs in appropriate use cases such as extraction, constrained labelling, and code generation, supported by clear evaluation ...

evaluation set design, and metric definition. Build and deploy production classification models and matching or inference models. Measure, document, and communicate model performance, including error rates and error analysis. Apply LLMs appropriately for tasks such as extraction, constrained labelling, and code generation, supported by rigorous evaluation frameworks. Contribute ...