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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Do you want to develop human-centred RL algorithms to shape
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Arts et Métiers Institute of Technology (ENSAM) | Paris 15, le de France | France | about 2 months ago
can be developed using FPBTs and FBGs coupled with physically informed (PI) machine learning algorithms. SMATSH scientific objectives are then to develop computationally efficient models to predict
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. The successful candidate will assist in developing novel algorithms and integrating them into robotic platforms, helping to push the boundaries of embodied intelligence in both research and practical deployment
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looking for researchers who can help design state-of-the-art swarm hardware for city deployments, cognition using edge-AI and perception, swarm algorithms for city-scale coordination, and interfaces
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systems, with a focus on 3GPP compliant 5G/6G NR NTN OFDM waveforms Develop and analyse signal processing and/or machine learning algorithms for joint channel, delay, Doppler and carrier phase estimation
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of battery modelling and algorithm development, with a strong emphasis on the data-driven modelling and control aspects. You will contribute to shaping the technologies that underpin a more sustainable and
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the relevant field of study or possession of equivalent experience. Artificial Intelligence in Digital Health (AIDH, https://go.osu.edu/aidh ) in the Department of Biomedical Informatics (BMI, http://bmi.osu.edu
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support delivery of one of our new flagship EU-funded projects. In particular, the role holder will work in the areas of design, modelling and simulation, optimisation, development and laboratory testing
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Project Officer in AI
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methodology will involve the development of mathematical models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation