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) from thawing permafrost. More specifically, the project focuses on the accumulation of Hg within the food web, with specific emphasis on transfer across classic ecosystem boundaries, from aquatic
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. The work involves areas such as AI-assisted automation engineering, digital twins, semantic modeling, secure data exchange, and reconfigurable production architectures. The research is carried out in
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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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environments - Semantic scene-understanding in natural environments for robust decision-making - Learning-based traversability-aware path planning and safe trajectory generation - Resilient mission design for
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the possibility of extension. Starting at the earliest convenience. Application Submit the application via the University’s web-based recruitment tool, Varbi. Applicants are responsible for submitting a complete
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reports: Document no more than 10 pages each. For longer documents (eg dissertations), attach a summary (abstract) and a web link to the full text. One recommendation letter Contact information for two
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Box 118 22100 Lund Web Page: http://www.maths.lu.se/english/
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be made for special reasons). Experience in research on digital cultures. Proficiency in AI methods (e.g., NLP techniques, machine learning, and large language models, LLMs)—including web scraping
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Brändén Email: Postal Mail: Lindstedtsvägen 25 100 44 Stockholm Sweden Web Page: www.math.kth.se
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web-based, interactive visualizations. Eligibility Requirements Eligible to be employed are those who have completed a doctoral degree in Computer Science or an equivalent degree. The doctorate shall