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-based technology evaluation, benchmarking, and cataloging practices. The AI Technology Watch intends to set a systematic process used to monitor, analyze, and evaluate developments in artificial
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relationship to the applicant, of one referee Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by
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PhD thesis. If you choose a publication with multiple authors, please also explain your own contribution Early application is highly encouraged, as the applications will be processed upon reception
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tasks: Administration of business trips, acquisition orders, processing of invoices Organisation of conferences, exhibits, events, logistics, etc. Welcoming visitors, sorting out mail, handling phone
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of maintenance are part of a continuous improvement process to which you actively contribute, such as: maintenance development strategy with a long-term vision, overall performance through KPIs and dashboards
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We are seeking a highly motivated PhD candidate with a strong interest or background in AI as well as in one or more of the following areas: Generative AI, Natural Language Processing, Deep learning
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industrial physic-chemical processes and natural environments, making this research both ubiquitous and interdisciplinary. The increasing availability of experimental and production data, requires new
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Applications should include: Curriculum Vitae Cover letter Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR
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Applications should include: Curriculum Vitae Cover letter Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR
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of possible research interests/ideas Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. To ensure full