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applications (e.g. natural language processing, multivariate time-series data), to develop systems that improve the efficacy of machine learning-based technologies for healthcare applications. You must hold a
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into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and applications (e.g. natural language processing, multivariate time-series data
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researchers, 4 PhD students, 2 technicians and 8 Adjunct Professors (20% position). The research within the department is focused into two groups: sea-ice-snow-air processes and space physics. About the
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group. The term of the positions is typically two years, with the possibility to renew for the 3rd year, contingent on the project process and availability of funds. Recent publication most related
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curious to deliver work that matters, your journey starts here! The Language Technologies Institute (LTI) at CMU is a world-renowned research and education hub at the forefront of natural language
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of PhD), or Research Associate (more than 3 years of PhD). A strong preference is for individuals with (a) computer science or computer engineering degrees with previous experience in natural language
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The Department of Language and Culture at the University of Southern Denmark (Odense, Denmark) invites applications for a fully funded 3-year postdoctoral position as part of the research project
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for candidates to have the following skills and experience: Essential criteria PhD or equivalent experience in relevant area. Knowledge or interest in Natural Language Processing, ideally as applied to big
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is important that you are able to work in a team and work for the overall goal in the project. Your profile The applicant should have demonstrated excellence and have a relevant PhD degree in chemical
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candidate will join the EDFM group at the Technical University of Munich to advance our understanding of the adaptive capacity of European forests to natural disturbances. This position is embedded in the DFG