on to see what Thales has on offer. Role Join us as an Algorithm Engineering Apprentice where you'll have the opportunity to enhance your skills in designing the signalprocessing and AI algorithms that power the world's leading sonar systems. You will collaborate with a diverse team of experts to create complex systems for our customers. … methods and approaches Effective communication skills in both writing reports and giving presentations Knowledge and application of the key digital technologies such as data science or AI/ML Signalprocessing (such as audio, image, video processing) and information processing (raw data or structured data) Effective algorithm design and implementations, and importance of verification and validation More ❯
bath, south west england, united kingdom Hybrid / WFH Options
Radiodetection Ltd
as Code Composer Studio or Visual Studio. Desirable: Understanding of Bluetooth Low Energy (BLE) technology. Experience with wireless protocols (GSM, WiFi), bootloader development, GNSS/GPS technologies, Agile methodologies, signalprocessing, embedded Linux, Qt/QML, Android development, and continuous integration (e.g., Jenkins). Why Join SPX Radiodetection? As a permanent member of our team, you’ll enjoy More ❯
advances will be trialled at scale with end-users, driving the development of robust, wearable neurotechnologies. This role offers an excellent opportunity for a researcher with expertise in neural signalprocessing and AI/machine learning for the analysis, classification, and decoding of high-resolution electroencephalography (EEG). Working with Prof Coyle and the Turing AI Fellowship team More ❯
advances will be trialled at scale with end-users, driving the development of robust, wearable neurotechnologies. This role offers an excellent opportunity for a researcher with expertise in neural signalprocessing and AI/machine learning for the analysis, classification, and decoding of high-resolution electroencephalography (EEG). Working with Prof Coyle and the Turing AI Fellowship team More ❯
advances will be trialled at scale with end-users, driving the development of robust, wearable neurotechnologies. This role offers an excellent opportunity for a researcher with expertise in neural signalprocessing and AI/machine learning for the analysis, classification, and decoding of high-resolution electroencephalography (EEG). Working with Prof Coyle and the Turing AI Fellowship team More ❯
