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Field
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of the recruitment and description of the project Department of System Design ,Faculty of Robotics and Design, Osaka Institute of Technology https://www.oit.ac.jp/ [Work content and job description] Sensor Engineering
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including clinical, algorithm, and mechanical engineering to define system requirements, sensor specifications, and patient interaction protocols. • Develop custom control and data processing software in
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with the latest sensors (camera and LiDAR sensors), is available for the work. What you will do Development of algorithms for 3D multi-object tracking based on heterogeneous sensor data fusion (standard
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sensors, actuators, control algorithms, and embedded systems. Guide the development and deployment of digital twins for real-world processes and infrastructures (e.g., factories, greenhouses, robotics
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integrating visual data with spatial sensors like RGBD and LiDAR. This Research Engineer (Research Technician 2) role offers the opportunity to work across the full stack of data collection, model training
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algorithm level languages such as Matlab/Simulink, Python or similar * Demonstrated, successful experience developing software to communicate and exchange information (e.g. commands, status, data) with
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interact with the world around us. However, the power requirements and carbon emissions of AI are equally dramatic: training a single state of the art algorithm has the same carbon footprint as the lifecycle
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-world solutions. The engineer will design algorithms, develop software, and integrate real-time and HPC sensing and communications systems. Major Duties/Responsibilities: Design and optimize signal
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management practices at large scales. Experience applying data assimilation and using observations from in-situ sensors or satellite products (e.g., gross primary productivity, leaf area index, yield, GHGs
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teams in the design and implementation of cyber-physical systems (CPS) integrating sensors, actuators, control algorithms, and embedded systems. Guide the development and deployment of digital twins