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& reproducible code) Experience with natural language processing tasks (in R or Python familiarity with common tasks such as sentiment analysis, topic modelling, classification using transformer-based models
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Are you passionate about compression, analytics, and machine learning for the Internet of Things and can you contribute to the development, operation and support in cutting-edge projects in strong
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. An extension of 1–2 additional years may be offered, subject to satisfactory performance. Job description The successful candidate will contribute to cutting-edge research on topics including: Token compression
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, JOTA). Ability to work both in cooperation and independently as well as to formulate, verify and execute new ideas. Plus: Ability to implement and test algorithms, code and design statistical experiments
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preparation for mass spectrometry analysis in the laboratory Learning of data analysis methods and code to understand mass spectrometry data Present your data at lab meetings and (inter-)national meetings
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published papers) with the above topics. A high level of coding competences will be beneficial. If your PhD is not yet completed, please document that your thesis will be submitted before the start date
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but not limited to: Use AI techniques, including the development and application of large language models (LLMs), for text analysis of memory reports according to specific research aims. Content coding
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Boulevard 9Geofield Contact City Aarhus Website https://dent.au.dk/ Street Vennelyst Boulevard 9 Postal Code 8000 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail
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Postal Code 7400 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone YahooMail