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Field
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. The role will bridge rigorous theoretical work with hands-on offloading algorithm design and development. The core responsibility is to build and validate these offloading strategies, complete with Python
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guidance, navigation, and control (GNC) systems. The successful candidate will develop and validate Bayesian and non-Gaussian estimation algorithms, data assimilation methods, and tracking frameworks
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) to develop accelerated AI, machine learning, and robotics algorithms with a strong focus on computational efficiency, memory reduction, and energy-aware deployment. The role targets foundation models
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development of the LOTUSIM-Energy simulator and its associated autonomy components. Their main responsibilities will be: - Developing and integrating multi-physics simulation models for maritime, aerial, and
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collaborate closely with Professor Colin Meyer at Dartmouth College to develop new models of polynya dynamics, efficient algorithms for inversion of surface signatures, and deeper understanding of controls
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implementation of LED drivers for indoor lighting control. 2) Design of server management algorithms on an IoT server for monitoring light sensors and controlling the lighting system. Development of spectral
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focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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-computer interaction. The ideal candidate will have a strong foundation in algorithms, HCI, and software engineering, and will contribute to the design, development, and evaluation of interactive and
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on greenhouse gases, air quality, and emerging satellite missions. Key responsibilities include developing and evaluating remote sensing methodologies, including designing algorithms to detect and quantify marine