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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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pollution can affect natural systems and how these effects can be minimized. The work includes design and experimental studies of simple model systems as well as more applied studies. The applicant should
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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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. Experience of research in algebraic combinatorics or neighboring areas. Good knowledge of English, for the day-to-day work. Preferred qualifications A doctoral degree or an equivalent foreign degree, obtained
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. If Swedish is not your native language, Chalmers offers Swedish courses to help you settle in. Application procedure The application should be written in English be attached as PDF-files, as below. Maximum
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application! Work assignments Our current research projects focus on distributed radar sensing, hardware-efficient signal processing, robustness and resilience, and communication-efficient decentralized machine
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fundamental aspects of all our activities. If Swedish is not your native language, Chalmers offers Swedish courses to help you settle in. Application procedure The application should be written in English be
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, 2026 or by agreement. Project description Aggregation phenomena and clustering effects are widespread in natural and industrial processes and can be observed in many situations including both living and
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to explain the role of neuron and network properties in shaping the activity. In addition, we want to understand how non-Poissonian nature of neural activity affects stimulus representation in the brain
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Description Job description The postdoctoral researcher will be part of the EU project “Digitising Smell: From Natural Statistics of Olfactory Perceptual Space to Digital Transmission of Odors.” The project