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to teach in English as well as Danish. Qualifications Applicants must have a PhD degree or document equivalent qualifications in a relevant field related to STS and or /policy-analysis. Applicants must be
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offer a unique opportunity to contribute to high-impact research in drones, AI, and human-computer interaction. Successful candidates will join a dynamic and inspiring international research environment
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will collaborate with leading researchers in dermatology, medical imaging, and artificial intelligence from prestigious institutions in Denmark, the Netherlands, Taiwan, the United States, and Australia
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Postdoc in development and testing of electrodes for liquid alkaline water electrolysis - DTU Energy
electrochemical testing by means of various voltametric methods and electrochemical impedance spectroscopy. As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical
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You have academic qualifications at PhD level, for example within the areas of bioinformatics, machine learning or forensic odontology. We favour experience in computational data analysis, and the
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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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of staff who are hired on temporary contracts as research assistants, post docs or PhD students. The department’s ambition is to host an internationally leading environment for research and teaching in
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research group as well as the Centre for Cold Studies. These affiliations ensure strong local research support and mentoring. Eligibility and requirements: PhD in History, Rhetoric, Digital Humanities
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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