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speech processing and speech classification; Research experience with deep neural networks and complex networks; Hands-on experience with Automatic Speech Recognition systems; Hands-on experience with
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Applicants must either be enrolled (or willing and able to be enrolled) as MA students in Linguistics, Speech and Language Therapy, Psychology, or related fields or hold a Master’s degree in Linguistics
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professional curriculum such as: - Experience or formal education on speech processing and classification; - Experience on the use of binarized neural networks or cryptography; - Formal education in voice
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of developing metabarcoding methodologies for identifying pollen in honey, processing the data obtained, and disseminating the project. 3. Work Plan: 1) supporting the development of work within the scope
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tutorials; Proficiency in English (written and oral communication) will be valued Selection process The selection methods to be used are as follows: 1. Classification of Academic Qualifications (20%); 2
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research and development activities. The tasks to be developed are part of the SuMONT project and consist of: 1) Organise data from various sources; 2) Use quantitative methods, process data and produce
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. The tasks to be developed are part of the SANCAST project and consist of: 1) Organise data from various sources; 2) Use quantitative methods, process data and produce descriptive and inferential analyses; 3