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Field
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. Provide technical support for investigation and development of image analysis for object detection and tracking. Participate in the software development and integration of multi-sensor systems
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working with industry partners to translate this new technology into commercial sensors for vineyard installation. Further opportunities involve integrating the research data into the National Smoke
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environment project, we will develop automated species and community recognition, particularly focusing on pathogenic soil fungi, with help of deep-learning algorithms fed with microscopic image and Raman
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logistics. Develop and implement control algorithms for distributed multi-agent system operations and spacecraft-based robotic manipulation. Perform research on spacecraft dynamics and control, including
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, functioning as the technical expert, in the areas of vehicle safety and telematic technologies, general areas of control, hybrid state systems, simulation, sensing, estimation, sensor fusion, and telematics and
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, develop novel approaches for proving hardness, and devise new algorithms. You will be expected to conduct individual research and develop research questions, regularly write research articles at a national
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Research Associate (Computer Engineering/Computer Science/Engineering/Mathematics/Biology/Chemistry)
. Key Responsibilities: Develop deep learning models and algorithms for biomedical and healthcare applications. Data processing for training of deep learning models. Mentor junior research lab members in
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DSLR cameras Familiarity with hardware interfacing and sensor integration Working Conditions / Work Schedule Work hours are fairly flexible throughout the week Posting Detail Information Posting Number
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, model compliance, and integration with operational systems. You will support digital project delivery and the University's Smart Campus initiatives, integrating spatial and sensor data to enhance building
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sensors, data acquisition, and statistical analysis. Ensure a safe and engaging lab environment. Collaborate with faculty to maintain consistency with course objectives and materials (already developed