6 of 6 Statistical Modelling Jobs in the East of England

product vision and being accountable for its success. Structuring work around clear goals and measurable impact A/B testing, data analysis & visualization, and statistical modeling Working with industry ads standards, ranking algorithms, and incrementally testing Strong track record of collaborating with technical and data science teams. High attention ...

variety of computational biology skills and techniques including next-generation sequencing analysis, single-cell transcriptomics analysis, advanced image analysis, spatial transcriptomics analysis, and statistical modelling of population dynamics. As your training progresses, you will then undertake long term research project(s) under the supervision of one or more … quantitative models for population dynamics, lineage tracing, and trajectory analysis Actively develop technical and scientific skills, showing willingness to learn new computational and statistical methods Identify issues in data or analysis workflows and apply appropriate quantitative or computational methods, with support, to help resolve them Carry out exploratory data ...

looking for from you: Strong and significant software engineering experience (C++, Java or similar) Solid background in data science and machine learning research, or statistical modelling Experience developing and prototyping novel systems or approaches Ability to take research concepts through to practical application An adaptable and continuous learning ...

Develop and maintain software tools for tolerance analysis, variation simulation, and robust design, enabling engineers to evaluate product performance under real-world variability. Implement statistical models and algorithms (e.g., Monte Carlo simulation, Design of Experiments) to analyse variation, predict risk, and support data-driven design decisions. Integrate ...

cyclic spectra, EVM, autocorrelation, constellation tracking, etc.) Designing RF data-processing pipelines built around practical hardware constraints (bandwidth, ADC limits, gain stages, timing jitter) Modelling RF front-end behaviour (filters, mixers, LOs, AGC, noise figure) to improve signal integrity and inference accuracy Developing ML and statistical models … Python proficiency for RF data analysis and prototyping (NumPy, SciPy, matplotlib, scikit-learn, PyTorch) Solid understanding of DSP fundamentals (FFT, filtering, modulation, correlation, noise modelling, resampling) Familiarity with SDR frameworks such as GNU Radio, SDRangel, osmoSDR, or SoapySDR Practical understanding of RF hardware chains (antenna → filters → mixers ...

Radio, SDRangel, SoapySDR, ZMQ Understanding of wireless protocols and physical-layer signal structures (e.g. Wi-Fi, LTE, LoRa) Ability to design machine learning or statistical models for signal classification, anomaly detection or emitter identification MUST be eligible for SC Clearance due to the nature of the work Responsibilities … Classification/Electromagnetic Signal Analysis/Wireless Spectrum Monitoring/Signal Intelligence/Drone Detection Systems/RF Machine Learning/RF System Modelling/RF Detection Engineer ...