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Field
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the application of machine learning for official statistics. The subject of the thesis will be "Exploring Large Language Models for Data-to-Text Problems" and involves the study of technical methods and approaches
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human perception and cognition. Experience in: experimental methods, computer rendering or VR/XR, programming. Affinity with multidisciplinary work, combining science, art, and technology. Enthusiasm
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well as its development of design tools and methods. A 350-strong research team and over 2,000 students work together in our inspiring hall, labs and studios.In close cooperation with industry, the public
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apply a fast and efficient forest trait mapping and monitoring method based on the Invertible Forest Reflectance Model. A machine learning / deep learning framework will be explored and developed
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Contributivos do Sistema Previdencial de Segurança Social. The monthly grant will be paid by bank transfer. 9. Selection methods and how they will be assessed: The selection methods to be used are as follows: 1
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years [1], we are in great need of alternative, energy-saving methods of calculation, so that the large-scale rise in AI does not lead to widespread disillusionment. In addition, embedded systems
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methods in Social Sciences, with proficiency in data analysis procedures such as visualisation, differential analysis, mixed regression models, structural equation modelling, and supervised and unsupervised
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) CAE/CPE: grade B or A. In extraordinary circumstances, formal documentation of language skills can be relinquished. In such cases, the candidate’s language skills will be assessed in a personal
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no section lower than 5.5 (only Academic IELTS test accepted) CAE/CPE: grade B or A In extraordinary circumstances, formal documentation of language skills can be relinquished. In such cases, the candidate’s
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) CAE/CPE: grade B or A In extraordinary circumstances, formal documentation of language skills can be relinquished. In such cases, the candidate’s language skills will be assessed in a personal interview