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Field
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We are looking for a postdoctoral researcher with experience in generative AI, multimodal representation learning, and modelling face-to-face dialogues for our NWO-funded project “Grounded Gesture
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(e.g., deep learning, implicit neural representations, diffusion models) for CT reconstruction, enhancement, and defect detection. Advance algorithms for multi-modal tomography (X-ray, neutron, electron
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databases. Knowledge of European and social law as well as medical law issues is desirable. Excellent knowledge of English (C1) / knowledge of another foreign language, ideally French at B2 level Team player
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Linguistics or Computer Science or another related field, or equivalent experience Knowledge of the linguistic and computational underpinnings of speech technology Ability to develop solutions for an ASR
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to make a difference. Do you want to be involved and contribute to our development? Together, we can create a sustainable future through knowledge and innovation. We believe that knowledge and new
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-based environments for high-performance data analysis. Knowledge of biological network inference, causal modeling, and graph-based AI approaches. Experience in multi-modal data fusion, representation
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staff position within a Research Infrastructure? No Offer Description Summary of Activities: 1. Development of a conceptual description of offshore production chains through knowledge representation
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the production of spatially granular and engineering driven representations of model results. Experience working across disciplines in multi-institution and multi-stakeholder collaborations is desirable
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, focusing on the representation, analysis, and control of systems subject to scientific, technological, economic, or social constraints. Heudiasyc is organized into three research teams: CID: Knowledge
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] Subject Area: Representation Theory Appl Deadline: 2025/07/31 11:59PM (posted 2025/07/01) Position Description: 2025/09/30 11:59PM Position Description The TUM School of Computation, Information and Technology