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Field
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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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requirements for PhD admission ) a list of any works of a scientific nature (publication list) The application and appendices with certified translations into English or a Scandinavian language must be uploaded
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of proficiency in English (if required, cf. English language requirements for PhD admission ) a list of any works of a scientific nature (publication list with links) The application and appendices with certified
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publication list Two educational or professional recommendations A copy of an abstract or reprint of an article All documents must be in English or include an official English translation. Connect with ORISE
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publication list Two educational or professional recommendations A copy of an abstract or reprint of an article All documents must be in English or include an official English translation. Connect with ORISE
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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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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