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support Smart Nation applications Key Responsibilities: Design and implement natural language processing (NLP) algorithms and models for semantic analysis, e.g., topic modeling, embedding, named-entity
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sciences. Your host: Health NLP Lab, led by Prof. Carsten Eickhoff (https://health-nlp.com ). Collaborating scientist: Carina Reinicke (Global Clinical Development & Operations) at Boehringer Ingelheim
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undertake research in computer vision, NLP, and machine learning To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community
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Contract: Fixed Term, Full Time (35 Hours per Week) Fixed Term Contract Length: 18 Months Are you an experienced and driven Natural Language Processing (NLP) researcher ready to make impact? Join
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/NLP classifier for implicit motives Coordination and training of undergraduate research assistants Statistical analyses Preparation of reports and manuscripts related to the project Planning and
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, supported by INESC TEC. 2. OBJECTIVES: Identify specific tasks for the LIAAD team. Survey of the state of the art in NLP for clinical text, specifically in Portuguese. Evaluation, adaptation and configuration
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applications in NLP, AI-assisted programming, cybersecurity, edge computing and networks. Publish in top research publications. Assist in research project management and software development. Job Requirements: A
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language processing (NLP), and multimodal learning (ML). Mentor graduate and doctoral students in their research projects Collaborate with faculties and students in completing joint research works Write and revise
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develop a machine learning based monitoring system that leverages spoken language processing (SLP) and natural language processing (NLP) of speech recorded at home to calculate relapse risk. The developed
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, information extraction, dialog tree generation and knowledge discovery using state-of-the-art NLP approaches. Experience with deep learning-based information retrieval, and/or deep generative natural