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with special emphasis on applied artificial intelligence, machine learning, natural language processing, computer vision, and experiential learning addressing business and technical challenges in
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the following research tasks: Designing and developing methods and resources for natural language processing (NLP), with a focus on knowledge generation and exploitation techniques and the creation
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the preparation and conducting of practical training classes with Polish or/and English-speaking students • Use computer programs at advanced level such as Word, Excel, Power Point, e-mail • Be able to work in a
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research institute for natural and engineering sciences within Switzerland. We perform cutting-edge research in the fields of future technologies, energy and climate, health innovation and fundamentals
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on the processing of personal data at Humboldt-Universität within the framework of job advertisements can be found on our Website: https://hu.berlin/DSGVO . Please visit our website www.hu-berlin.de/stellenangebote
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 24 days ago
machine learning applied to natural language processing, computer vision, or a related area. Strong publication record in NLP, ML, or related areas -Strong programming skills, including TensorFlow and/or
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, such as aberrant transcriptional regulation (Bervoets et al., Nature Communications 2019) and cytoskeletal remodeling (Ermanoska et al., Nature Communications 2023). However, the exact mechanisms by which
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only. Information pursuant to Art. 12, 13 DSGVO on the processing of personal data (at Humboldt- Universität) within the framework of job advertisements can be found on our Website: https://hu.berlin
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Degree Doctor of Philosophy (PhD) in Medical Research – Cardiovascular Science Course location München Teaching language English Languages Courses are held in English only. PhD theses are written
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The Senior Natural Resources Specialist reviews and processes Public Water System (PWS) information, applications, documentation, and data submitted to the Texas Commission on Environmental Quality