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of natural language processing (NLP) and high throughput simulations to build databases for polymer property which can then be used to aid down-selection and exploration of new material solutions
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English communication. Optional: geek-friendly. Additional Information Benefits What we offer As PhD candidate position on Natural Language Processing in Lawat Faculty of Law, you will be employed by
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experience with applying natural language processing. Affinity with law is a plus; Interest in learning about other disciplines, law in particular; Community-friendly team player; Excellent oral and written
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PhD in Low-Resource Natural Language Processing & Computational Modeling of Language Learning (1.0) (V24.0068) « Back to the overview Job description Applications are invited for a 4-year salaried
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Grant and coordinated by Principal Investigator (PI) dr. Arianna Bisazza. This is an interdisciplinary project at the intersection of Computational Linguistics/Natural Language Processing (NLP
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(expected to be) 01.10.2024 or as soon as possible thereafter. The project The overall aim of this PhD project is to develop and validate indicators for naturalness or ecosystem integrity, both in terms
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PhD fellowship in conservation science - developing and validating indicators of ecosystem integrity
in spoken and written English is a requirement. Ability to communicate seamlessly with practitioners in Danish nature management is necessary.Get more info and apply at: https://employment.ku.dk/phd
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members, as well as the interdisciplinary nature of the TRDA PhD Programme, will provide a unique training opportunity for PhD students on the important societal topic of sports-related concussion in
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addition to full health insurance and other benefits. Selection process Pre-selection will be made on the basis of a personal on-line interview with assoc. prof. Marek Cigáň (supervisor of the PhD study). Successful
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English in correspondence with the admission criteria for the PhD program . Personal suitability and motivation for the position. The following experiences and skills will be emphasized: Strong background