12 linguistics "Australian National University" scholarships at University of Amsterdam (UvA)
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looks at classical texts in their contemporary context combining narratological, linguistic and intertextual approaches. The overarching research theme of the group is currently “style”. It is the central
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written command of Dutch (as this project will comprise conducting Dutch-language interviews); an excellent spoken and written command of English (as you will write an English-language dissertation and
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develop a framework consisting of a set of programming language methodologies and tools for the specification, verification and generation of software and configurations for programmable data planes. Making
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candidate who masters the Dutch language. What are you going to do? In this position you will: contribute to the design and collection of interview data on selection practices in primary education; analyze
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/repatriation; Familiarity with, or demonstrable interest in, Critical (Digital) Heritage approaches, involving a collaborative, community-driven component; Good command of English, and other language(s) relevant
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at least full address and contact details, previous education, relevant employment, conference presentations and publications (if applicable), grants/honours (if applicable), language proficiency; a list of
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(previous university (or relevant) employment) ○ Conference presentations and publications, if applicable ○ Grants/honors ○ Language proficiency ○ Computational skills, if applicable a list of all Master
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written English, and preferably one of the following languages: a Chinese language, Dutch, German, Italian, French, Spanish; We especially value an ethical commitment to the societal position
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, and international (more than 50% of our section’s faculty is international, the working language is English, and we encourage academic exchanges with leading schools globally). Employer Selection
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: The candidate should be proficient in a programming language commonly used in computational finance, such as Python, R, MATLAB, or Julia. Experience with data analysis tools and software is highly desirable