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Field
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of the 15 months of data collection. An amazing opportunity to learn about the lives of wild Guinea baboons in their natural environment. An opportunity to gain new skills and gain proficiency in diverse
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Dr. Foti. This position is through a NIH-funded project involving remote collection of laboratory-grade data from children with congenital Zika syndrome (CZS) to evaluate the progression of new
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University of Munich (TUM) , focusing on cutting-edge research in digital health, wearable sensing, and embedded artificial intelligence. The Project title is ‘IoT-based Assisted Living’ and the main purpose
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in machine learning and artificial intelligence Experience with numerical analysis and scientific computing Knowledge of power systems and renewable energy technologies Experience in power system
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at the University's campus in Edinburgh. The candidate will have the access to established university resources, and an induction programme will be delivered to the new appointee. Travel for data collection, events
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collected data. Key questions include: What is the nature and scope of femicide in the Netherlands? What are the most common patterns across different contexts? How can these patterns be theoretically and
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of research results or willingness to acquire such experience willingness to conduct a research stay for several month at another institute very good knowledge of MS Office, including Word, Excel and PowerPoint
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artificial intelligence methods. PhD Position – Hydrogen corrosion assessment combining experimental and AI approaches Reference code: 50141225_2 – 2025/MO 2 Commencement date: as soon as possible Work
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research across a wide range of disciplines, from classical fields such as biology and mathematics to interdisciplinary areas like artificial intelligence, pharmacy, and nanoscience. The PhD position is
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Everyone is talking about artificial intelligence. But who is developing the necessary chips? We are, for example! Would you like to help drive the development of a new highly efficient AI hardware