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-edge natural language processing, knowledge graph techniques, provenance and art historical understanding, museum and archival processing, fine-tuning language models and other AI models, data
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solutions in support of the Defense Innovation Network Assistant ( DINA ) initiative. The position conducts applied and translational research in machine learning, natural language processing ( NLP
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artificial intelligence models. Conduct literature reviews related to speech recognition, accessibility technologies, machine learning, and natural language processing. Develop and maintain scripts or
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, Education, Speech & Hearing Sciences, or a related field. Substantial experience with at least one of the following: speech and audio processing, deep learning, natural language processing, eye tracking, or
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application of advanced methodologies for the integration, processing, and analysis of acoustic, biological, and environmental data collected in the Mediterranean Sea. The research will focus on the
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would have an educational background, prior research or work experience on Natural Language Processing, Machine Learning, and/or Explainable AI. Our group and research -- and what do we offer? The
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. Ideal candidates will use modern computational techniques in combination with neuroimaging and/or behavioral methods to investigate language learning, processing, and representation in the human brain
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Tools Web Front-End Programming Natural Language Processing Database Systems Professional Issues and Ethics in Information Technology Indicative Areas of Expertise Computer Science & Computing
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, Natural Language Processing, multimodalem maschinellen Lernen oder Mensch-Maschinen-Interaktion Erfahrung mit modernen Machine-Learning-Frameworks (z.B. PyTorch, TensorFlow), NLP-Bibliotheken (z.B
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Vision, Natural Language Processing, Language Modeling, Robot Learning, Generative Models, IoT, Data-Centric Computing and Networking, Next-Generation Wireless Networks, Social Networks, Cyber