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Project details: Adaptive Automated Geological Modelling for Sustainable Mining Applications Sustainable mining requires a proper assessment of the risks involved in any decision in the mining value
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innovation, is a leader in the digital world. We are looking for an Assistant/Associate Professor in multimodal generative AI models for audio to jointhe ADASP/Audio research group which is part of the Signal
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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 Trustworthy and Scalable Multimodal Foundation Models
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Your Job: Join our team as a dedicated scientist and contribute to our exciting research projects. Our work focuses on models and algorithms for supervised and unsupervised learning. We devise deep
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of this role is to deliver on an industry innovation research project where you will be part of the research team to conduct applied AI research in visual generation models, agentic AI, focusing on applications
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to this project, including one at G2Elab. The experimental results will be obtained on models defined jointly with VALEO. Progress meetings will enable the postdoctoral researcher to follow a large-scale project
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This opportunity adds to the portfolio of projects within the new CDT for Innovation for Sustainable Composites Engineering launched in 2024: https://www.bristol.ac.uk/composites
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individuals to work in a variety of roles at the arboretum. Possible duties include visitor services and cashiering, gardening, grounds maintenance, facility maintenance, running model trains in the Railway
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for the calculation of the importance of systems, structures, and components—and, more generally, of parameters or variables—in the modeling of complex technological assets, by leveraging modern computer simulations
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on model behavior. We will divide our work into three thrusts: Thrust A: A first major objective will be to augment classical spike train analysis methods particularly those developed by Prof. Grün and