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for international research and education from BA to PhD studies within language, language technology, Natural Language Processing, literature, media, culture, and gender studies. The successful candidate will be
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-science https://www.uab.cat/en/phds/comparative-political-social-history The successful candidate will be expected to write his or her dissertation on nature, early modernity, and women in Japan and to
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of the UMC Utrecht is seeking an enthusiastic and ambitious PhD candidate. In this project, you will focus on developing, validating, and applying fine-grained natural language processing (NLP) and large
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requirements (skills/languages/required experience) Applications are invited for a four-year postdoctoral position as part of the European Research Council project “Consuming Nature: Early Modernity, Popular
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for the automatic analysis of vocal and conversational content, with a particular focus on healthcare applications and natural language understanding. The activities will involve the study, design, and validation
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literature is approached from a wide variety of theoretical and methodological perspectives. The Class of Language Education investigates the processes and results of teaching and learning language, literature
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Natural Language Processing (NLP) and teaching. The successful candidate will be able to teach a core class in the MIDS curriculum that covers Natural Language Processing (NLP) methods, including Large
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, reaching, lifting, and turning. - Receiving of information through oral communication and a computer. - Exposure to heat and noise. Supplemental Information Cold Spring Harbor Laboratory is a world-renowned
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/taking-responsibility/diversity-equity-inclusion For more information about career opportunities in Springer Nature please visit https://springernature.wd3.myworkdayjobs.com/SpringerNatureCareers/
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natural language processing (NLP) techniques. Support researchers performing health services, population health and outcomes research related to vision. Perform data extraction; assist with data management