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. The candidate should have a PhD in Computer Science or a closely related field. Relevant background and skills include: Strong foundation in one of the following areas: Machine Learning / Information Retrieval
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, Management and MarketingCountryNorwayGeofield Contact City STAVANGER Website http://www.uis.no Street 4036 STAVANGER STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail
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para Ciência e Tecnologia; - PhD in Electrical Engineering, Computer Science, or equivalent scientific areas - Excellent academic and practical background in machine learning, deep learning, natural
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expected to enrol in the Vienna Doctoral School of Social Sciences (VIDSS, https://vds-sosci.univie.ac.at/) , where they can receive support on PhD-related matters and participate in free training sessions
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programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process . An excellent technical infrastructure, on-campus
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investment in artificial intelligence over the next five years (regjeringen.no ) (in Norwegian). About the project/work tasks: This PhD fellowship is associated with the third cluster of the AI LEARN centre
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systems. Where to apply Website https://www.swansea.ac.uk/postgraduate/scholarships/research/computer-science-e… Requirements Research FieldComputer scienceEducation LevelUndergraduate Skills/Qualifications
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Website https://chemical.eng.unimelb.edu.au/ Street Grattan Street Postal Code 3010 E-Mail linda.demelis@unimelb.edu.au STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E
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Programme? Not funded by a EU programme Reference Number BAP-2025-749 Is the Job related to staff position within a Research Infrastructure? No Offer Description We are seeking a highly motivated PhD
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North Carolina Agricultural and Technical State University | Greensboro, North Carolina | United States | 1 day ago
applications for this job through MathJobs.Org right now. Please apply at https://jobs.ncat.edu/postings/39090 . Contact: Human Resources, (336) 334-7862 Email: Postal Mail: 1601 E. Market St Marteena Hall 101