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proximity operations in collaboration with Redwire Space Luxembourg. The candidate will carry a leading role in this area and support PhD candidates in their thesis research. The candidate will work closely
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career goals align with its objectives Transcript of all modules and results from university-level courses taken PhD diploma or a letter/information indicating the expected defense date List
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advanced retrieval techniques, including spatio-temporal regularization, and hybrid methods with machine learning and deep learning. He/she will support the development of an improved forest RTM that can
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Poltavskyi, a leading expert in MLFFs, and within the Theoretical Chemical Physics group led by Prof. Alexandre Tkatchenko, one of the world’s leading groups in machine-learning force-field development
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deep learning. You will support the development of an improved forest RTM that can exploit LiDAR full-waveform data along with hyperspectral signatures. You will plan and carry out field campaigns in
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on the development of technology for lunar and Martian regolith handling and beneficiation. · Develop and apply modelling and simulation approaches to particle separation systems. · Optimize the design
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on Li-ion microbatteries. The project is part of a large R&D framework between Goodyear company and LIST including one topic dealing with the development of “smart tires”. In this general context
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between Goodyear company and LIST including one topic dealing with the development of “smart tires”. In this general context, the main objective of the project in which the postdoctoral candidate will be
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, Transfer Learning, Deep Reinforcement Learning, and Transformer-based models, including hands-on implementation Strong understanding of machine learning models and their development Strong analytical
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). The team focuses on the development and design of reliable, safe, and secure software systems, carrying out both upstream activities such as requirements quality assurance and architecture analysis, as