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motivated to move the area of enzyme engineering to the next level, while having a positive impact on our world. When joining our team, you get the opportunity to use the latest algorithms in machine learning
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
workshops. Qualifications Applicants must hold a PhD degree (or equivalent) in a relevant field. Suitable disciplinary backgrounds include but are not limited to: Computer Science, Data Science, Artificial
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research tasks related to the CULTS project. Main tasks include scraping (from open sources), organizing, and analyzing large amounts of rhetorical and behavioral communication (text data) of (primarily
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analysis and biomedical data analysis, with demonstrated experience in organ segmentation from medical images, using both traditional and machine learning–based methods, and creation of large segmentation
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Do you want to be part of a young, dynamic research group working on designing the next generation of sustainable energy materials using computational chemistry and machine learning? And do you see
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for physical AI systems that learn and adapt through continuous exposure to multimodal sensory and radio data, and acts upon real-world environment through distributed coordination and control. Emphasis will be
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demonstrated excellence and have a relevant PhD degree in chemical or materials engineering, chemistry or similar. A general interest in technology application, societal challenges, and techno economics is a
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Postdoc in experimental studies of phase behavior of ABC-miktoarm star block copolymers in thin f...
/PhD – in English) List of publications 2 recommendation letters or full contact information of 2 academic references Documentation of skills in written and spoken English Applications received after
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structures. You will work closely with computational researchers to gather data, evaluate AI predictions, and design experiments. You will work in a team with 7 PhD-students and 4 postdoctoral researchers and
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description. The applicant must have excellent professional proficiency in English (written and spoken). Required: Strong knowledge of how to use AI and large language models (LLMs) for data extraction