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25 May 2024 Job Information Organisation/Company Università degli Studi di Trento Research Field Biological sciences Ethics in natural sciences Language sciences Medical sciences Neurosciences
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proposed; and, where English is not the applicant’s first language, 2. an IELTS certificate (dated within the last two years) with scores that meet the minimum requirements of 6.5 overall score, and no less
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manufacturing, or machine learning. A track record of research projects Strong interest in problem-solving and experimental activity Fluency in English (written and spoken) It is also appreciated: Experience with
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Computer science » Other Economics » Other Educational sciences » Other Engineering » Other History » Other Juridical sciences » Other Language sciences » Other Literature » Other Management sciences » Other
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Requirements Interested candidates must have obtained a qualifying Master’s degree within the preceding 2 years. Internal Application form(s) needed 26728.pdf English (147.13 KB - PDF) Download Additional
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2024). Internal Application form(s) needed 26724_CSN5.pdf English (274.09 KB - PDF) Download Additional Information Benefits Gross salary € 25.183,00 Eligibility criteria PhD or equivalent qualification
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of the candidate according to Art. 6 of this announcement; -an oral examination in English The Admissions Committee can assign each candidate a total score of 100 as follows: - up to 60 points for the assessment
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sciences Computer science Cultural studies Economics Educational sciences Environmental science History Information science Juridical sciences Language sciences Literature Mathematics Medical sciences
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applicants should have excellent academic track records and demonstrate strong enthusiasm and talent for research. Fluent English is a must. Interdisciplinary and intersectoral skills are required: materials
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candidate will learn AI algorithms mainly related to Natural Language Processing and information embedding (eg word2vec, Transformer Networks, G-retriever) and connection of topics and keywords (e.g. through