55 natural-language-processing-intern "https:" PhD positions at Aalborg University in Denmark
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power systems https://cordis.europa.eu/project/id/101227683 ) consortium unites leading experts from academia and industry across Europe, leveraging expertise in wind energy, power systems, power
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can be an advantage but not limited to: MATLAB, PLECS, PSCAD, others. Excellent English language skills (both oral and written). Publications in international journals/conferences will be valued
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of Computer Science, the Technical Faculty of IT & Design. We invite applications for two fully funded PhD stipends in the area of Natural Language Processing (NLP), Knowledge Graphs (KGs), and Large Language Models
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PhD project will be conducted in an international research environment. Danish language skills are not a requirement. Qualification requirements PhD stipends are allocated to individuals who hold a
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oral communication skills in English. Given the interdisciplinary nature of the project, we are looking for candidates who are intellectually curious, collaborative, and motivated to work across
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societal impact. The Department of Electronic Systems employs more than 200 people, of which about 90 are PhD students, and about 40 % of all employees are internationals. In total, it has more than 600
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operation process. Particularly, we seek to support architects to design more sustainable buildings through simulation-assisted performance feedback regarding initial design concepts. We will explore how AI
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; • Good English skills (oral and written) are required. We offer: • International, interdisciplinary working environment; • In-house modelling, data processing and data assimilation expertise
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Interaction venues. For further information about the project, see: https://www.nordforsk.org/projects/nordic-perspectives-collaborative-ai-blue-collar-work-cai-blue. Your competencies You must hold a master’s
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properties, e.g. high processability while maintaining an open porous structure. However, their fundamental vibrational behavior remains poorly understood. This limits the possibilities to enhance