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Type of Contract: Full-time, Funding limited for 36 months A talented and creative Research Fellow is sought to work within the School of Natural and Computing Sciences with Dr. Mark Law on
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interdisciplinary team will 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
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publication list Two educational or professional recommendations All documents must be in English or include an official English translation. Connect with ORISE...on the GO! Download the new ORISE GO mobile
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are especially interested in candidates whose work connects with the natural sciences, and especially with recent developments therein (such as increased interdisciplinarity and the involvement of AI). However, we
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with a team, have an investigative nature and attention to detail; have knowledge of computer applications (such as SPSS and MS Office, PowerPoint); and have good communication skills with patients and
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areas: Time-series analytics or forecasting Natural language processing (especially question answering or language grounding) Multimodal learning (e.g., combining text with temporal or numerical data
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from experimental systems biology assays (PMID:36217030 [Nature Biotechnology 2024 & 2023 [Journal Cover]), artificial intelligence (PMID:35411337 [Nature Machine Intelligence 2022]), genomics and
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++, or Go, and frameworks like PyTorch or TensorFlow, is highly advantageous. Experience in developing and deploying machine learning models, particularly in natural language processing (NLP) and large
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of the projects, acting as the first point of contact for all enquiries related to the research projects, research proposal, and provide support for the school's research operation management, including developing
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scientific nature (publication list). Any publications in your name. The application and appendices with certified translations into English or a Scandinavian language must be uploaded at Jobbnorge. General