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Field
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exposure AI based algorithms to optimize the performance of integrated terrestrial and non-terrestrial networks (coverage, capacity, energy, exposure) Digital twin operation: dynamic environment-aware
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to research, develop, and evaluate algorithms for a variety of signal and/or image processing applications. The successful candidate will have a solid background in computer science with strong skills in
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wide range of markets such as automotive, industrial and aerospace. The »System Design« group within the »Microdisplays & Sensors« division is looking for reinforcement for its dedicated team! We work
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physics and engineering. We specialize in algorithms and applied mathematics, data science and learning, high-performance computing, multiscale integrated modeling, and software technology. While our
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working with image and video data covering at least selected aspects of data acquisition, quality control, dataset preparation, feature extraction, motion analysis, algorithm validation, or AI model
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hardware exploration and sensor selection (e.g., LiDAR, cameras, Radar, GNSS) to define perception systems tailored to specific project and algorithmic requirements. - Performs hands-on system hardware
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/FMV, geospatial and AIS tracks, signals and sensor data, and text-based intelligence reports and develop pipelines, annotation frameworks, and quality assurance processes while gaining deep exposure
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the fundamental challenges of multi-agent coordination and shared situational awareness, fostering the human-agent teaming essential for future mission success. By bridging the gap between sophisticated algorithms
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. Key Responsibilities: Develop and implement perception and control algorithms for robotic arms and embodied AI systems. Assist in integrating multimodal AI models (vision, language, force sensors) with
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++, and C#; design of DC-DC converters, AC motor drives, and control algorithms Sensors such as MEMs accelerometers, piezoelectric sensing, MEMs microphones, etc. Current eligibility for access