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. • Experience in multi-sensor data processing, SLAM or environmental mapping is preferred. • Strong research experience, specifically in past research projects related to robotics is required. • Strong
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learning and AI-driven research projects. Collaborate with researchers to translate scientific requirements into technical solutions. Optimize algorithms and workflows for performance, scalability, and
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experts on network monitoring, data management, algorithms, AI, modeling, microbiology, ethics and industrial partners, and by participating in a specifically designed training programme, they will develop
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. Numerical analysis and scientific computing: numerical methods, computational linear algebra, high-performance scientific computing, tensor methods, and scalable algorithms. Optimization: continuous and
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, including documentation, implementation, algorithm development, and high-level and complex data analyses. • Creates, facilitates, and directs a complex scheduling scheme involving large numbers of research
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and in vivo evaluation of next-generation drug delivery devices, materials, and sensors in a fast-paced, interdisciplinary, and collaborative research environment. Responsibilities include planning
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obstacles blocking the view. You will develop a global pointcloud mapping pipeline consisting of a pointcloud filtering approach and a pointcloud matching algorithm. The filtering approach should utilise
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algorithms, analysis pipelines, and software in order to establish and ensure effectiveness and scalability of computing infrastructure. Provides consultation for and expertise with computer applications to
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Silicon Sensor Particle Detectors for the Upgrade of the ATLAS Experiment and other Detectors at the CERN LHC
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other analytical methods Configure sensors, pumps, vacuum hardware, compressed-gas systems, and data-acquisition equipment Collect and organize test data, photographs, measurements, and observations