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algorithms in front-ends, wireline and wireless interfaces, converters, FPGAs, microprocessors, microcontrollers and IP cores throughout all project phases; analysing and profiling the implementation
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Responsibilities • Lead AI/ML algorithm development for predicting plant water and nutrient uptake under varying environmental and growth conditions. • Analyze multi-source data, including aerial and rootzone
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multimodal sensor data (video, LiDAR, BIM). • Assist in the deployment and acceleration of deep learning models (e.g., TensorRT, ONNX) onto edge computing devices on the robot. • Develop interactive web
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Edge computing and edge analytics frameworks Data acquisition systems and sensor integration Automated control systems and algorithms Cyber-resilient embedded system design Testing methodologies
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, algorithms, software, and programming languages for deep learning, reinforcement learning, statistics, sensors and sensor fusion, planning, computer vision, or related areas. In addition, you have demonstrated
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, algorithms, software, and programming languages for deep learning, reinforcement learning, statistics, sensors and sensor fusion, planning, computer vision, or related areas. In addition, you have demonstrated
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to delivery of predictive analytics and implementation of algorithms in care settings along with clinical, business and ethical challenges will be explored. In addition, an overview of the issues within
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 2 months ago
and animals look and move. We develop algorithms to estimate human shape and motion in images, videos, RGB-D sequences, etc. Our approaches define the current state of the art, and we are constantly
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device design, algorithms and sensors. The program will be complementary and collaborative with current strengths in computational neuroscience and neuromorphic computing. This position offers excellent
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are met. Undertake these responsibilities in the project: Develop and deploy multimodal AI algorithms for fire, smoke, and hot-work detection by fusing optical, thermal/infrared, LiDAR, RADAR, and gas