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to address this gap by developing and testing a new neurocognitive theory of spoken language learning that integrates cognitive, sensorimotor, and affective mechanisms. Moving beyond traditional accounts
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distributed wireless systems" which is conducted in collaboration between Linköping University (LiU) and Lund University (LU). Read more here: https://elliit.se/project/machine-learning-for-sensing-in
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candidate, you carry out research in the framework of this project and according to a set of tasks linked to this project. You will also follow the Faculty of Arts PhD training programme, see https
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 1 month ago
or consortia under controlled conditions at different scales (laboratory, greenhouse and field). Different carrier materials such as extra-polymeric substances and inoculation approaches will be tested
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one of the following certificates: TOEFL minimum of 550 (paper-based test), 213 (computer-based), 79 (Internet-based) IELTS minimum of 6.5 CPE minimum level C CAE minimum level C https://www.math
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options, from minimal models to more realistic ones. Second, building on existing preliminary results, the goal is to test these models to identify which mechanisms may be central for understanding
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). Expected results: • New HWCVD technology validation and optimization. • Obtain high optical performance a-SiC thin films (test material in small dimension, <2-inch) to be used in other WPs. • Comprehensive
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conducted in collaboration between Linköping University (LiU) and Lund University (LU). Read more here: https://elliit.se/project/machine-learning-for-sensing-in-distributed-wireless-systems/ Distributed MIMO
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working language. A language test certificate is not required, but it is strongly recommended. Application deadline Applications are possible throughout the year. For more information, please see: https
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supervisors and support teams and finish the programme after the PhD examination at the end of the third year as highly qualified scientists. All students enrolled in the DEWIN PhD programme automatically