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chatbots and other virtual assistants that can help students learn more effectively or prepare for exams, or support teachers in repetitive tasks. We are looking for a highly motivated and experienced
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on post-training methods for these low-resourced languages, for example, by investigating the role of synthetic data, among other data augmentation techniques, and the role of in-context learning in
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, especially in the context of scientific writing and presentations A collaborative mindset and enthusiasm for interdisciplinary research As a formal qualification, you must hold a PhD degree (or equivalent). We
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provide assistance in organising workshops and advisory board meetings. The post is for two years and represents an exciting opportunity to acquire valuable research experience, to contribute
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levels, ranging from BSc, MSc, PhD to lifelong learning students. We have about 300 dedicated employees. Read more about us at www.energy.dtu.dk Technology for people DTU develops technology for people
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highly motivated candidate who meets the following qualifications and characteristics: PhD (completed or soon to complete) Software Engineering, Computer Science, Embedded Systems, Artificial Intelligence
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(e.g., based on physiological signals or direct inputs from occupants) and developing algorithms, including machine learning methods. The work will include statistical modelling, data-driven modelling
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. The research will bridge both established and emerging technical expertise within the section, encompassing areas such as FPGA and neuromorphic computing, Edge AI, machine learning, power electronics, and self
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quantitative and qualitative methods to generate systematic knowledge about business-government relations and international business relations. To learn more about the research and education of the department
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applications. Your profile Applicants should hold a PhD in Immunology, Microbiology, Neuroscience, or similar. Essential Experience and an international track record in neuroscience, microbiology, or immunology