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-driven control techniques for robot path/trajectory planning Implementation of the developed algorithms Algorithms and systems verification and validation Report writing and presentations Job Requirements
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Processing and Machine Learning to develop signal processing and machine learning algorithms and methods for communication networks. Key Responsibilities: Develop signal processing and machine learning
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, equipped with state-of-the-art facilities, to work on the following: Conduct research, development, and testing of SLAM and multi-sensor fusion algorithms for UAV swarms in GNSS-denied, cluttered
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, equipped with state-of-the-art facilities, to work on the following: Conduct research, development, and testing of SLAM and multi-sensor fusion algorithms for UAV swarms in GNSS-denied, cluttered
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, control algorithms, optimization techniques, and optimal energy management algorithm development for the optimal operation of the system and applications. • Strong knowledge of power electronics, wide
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Responsibilities: To assist in developing multimodal algorithms that can detect early signs of depression from speech and text information. To assist in designing, developing, and acquiring voice and text corpus
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algorithms, models, and techniques. - Perform rigorous benchmarking and evaluation of the developed models. - Optimize algorithms for efficiency and scalability. Collaboration & Mentorship - Work closely with
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EmoRoom (Emotion + Classroom), an interactive visual analytics system to analyze and summarize student emotions from classroom videos, using emotion recognition algorithms and intuitive visualizations
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advanced deep learning algorithms for generative modelling and large multimodal models. Candidates are expected to have a strong background in relevant areas Job Responsibilities: To independently undertake
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: Writing, debugging, optimizing and testing of source code with an emphasis on audio applications. Maintenance and improvement of existing audio algorithm code base including noise reduction, acoustic echo