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Field
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Strong skills in simulation methodologies Excellent communication and interpersonal skills Desirable Criteria: Familiarity with machine learning algorithms and artificial intelligence as applied
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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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Working experience in algorithm design and implementation in software (e.g. C/C++, MATLAB, python, etc.) Understanding of data analysis, statistics, probability, and machine learning applied to IQ signals
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Working experience in algorithm design and implementation in software (e.g. C/C++, MATLAB, python, etc.) Understanding of data analysis, statistics, probability, and machine learning applied to IQ signals
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technological and (health) application perspective; planning and conducting benchtop spectroscopy experiments; data analysis, quantifying sensitivity and performance of the technology, and formulating algorithms
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able to manage and compare hyperspectral signatures acquired by hyperspectral sensors mounted on drones of asbestos-cement roofs with a reference hyperspectral library, constructed from analyses
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other government agencies (OGAs). As part of your routine tasks, you may be required to: Assist in the development and prototyping of radar and optical tracking systems, neuromorphic sensor systems, radar
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perception, mapping, obstacle avoidance, and multi-agent path-planning algorithms, and integrate these capabilities on physical drone platforms. The work will involve system integration, simulation, hardware
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existing imaging and sensing systems Develop new sensing techniques and technologies Calibrate sensors and ensure data integrity for use in machine learning algorithms Support R&D projects for the MSA Group
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proprioceptive sensors: IMU, odometry/encoders The robot's planned movement patterns, serving as a trajectory prior Be part of change The thesis will focus on addressing the following aspects in particular: Review