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Field
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facilitated by the availability of a high-power axial-feed capable plasma spray system and a high velocity air-fuel facility. These lend a rare uniqueness and versatility to the group’s processing capabilities
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semantic representation models for sign language. Such representations are key to allowing SL to be efficiently processed by large language models (LLMs), and will lead to machine learning models that can
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which marine microalgae-based technologies are used to upcycle nutrients from saline seafood process waters, while simultaneously producing valuable biomass. A core of the project is to tailor mild
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to upcycle nutrients from saline seafood process waters, while simultaneously producing valuable biomass. A core of the project is to tailor mild biorefinery sequences to the microalgal biomasses for recovery
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), research is carried out in computer vision, robotics and machine learning. We are now looking for two postdocs in robotics and machine learning and computer vision. The successful candidates is expected
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on processing and developing representation models for diverse data sources, including time-series data (EEG, video, mass spectrometry) and chemical data (molecular graphs, SMILES strings) related to odorant
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of speech, gesture and facial expressions. Yet most systems treat these modalities as separate. In the BodyTalk project we take a holistic approach to simultaneous synthesis of human communication
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Statistics is offering a postdoctoral scholarship within the project “Phase transition in aggregation processes and network models”. The scholarship is full time for two years with starting date 1 January
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operation since 2017 with world class performance thanks to the competent and dedicated staff, high-performance optics, experiment setup instrumentation, control system and computing resources. The emphasis
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conducts research in Engineering Materials, focusing on the design and processing of hydrogen diffusion permeation barriers for steels. The research subject “Engineering Materials” has ongoing research