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Job description PhD Researcher in trustable artificial and computational intelligence The Database, Document and Content Management research group is seeking a highly motivated and talented PhD
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) program. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
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life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health
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, business school scientists, system modeling and optimization researchers, computer scientists, legal experts and social scientists working on energy topics. Description of the PhD project The project
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. Your main tasks will include: Studying state-of-the-art techniques and benchmarks in the domain of (multi-modal) conversation modeling, both from the NLP and from human-machine communication perspective
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, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab
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have experience of programming and a strong interest in speech and machine learning. Supervisors: Dr Chris Scholes (School of Psychology), Dr Joy Egede (School of Computer Science), Prof Alan
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. The PhD position is within the Data-driven life science (DDLS) Research School. DDLS uses data, computational methods and artificial intelligence to study biological systems and processes at all levels
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ranges from core areas of computer science and electronics over medical applications to societal aspects of AI. SECAI’s main research focus areas are: Composite AI: How can machine learning and symbolic AI
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School. DDLS uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and