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other career-promoting work. Other career-promoting work may consist of teaching, supervision, and/or research assistance. This is dependent upon the qualification of the applicant and the current needs
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. Other career-promoting work may consist of teaching, supervision, and/or research assistance. This is dependent upon the qualification of the applicant and the current needs of the department. Starting
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computer science, physics, applied mathematics, electrical engineering, cybernetics, data science, computational science, neuroscience or related fields For applicants with a foreign completed degree (master level
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cookie? En cookie er en liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden
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of Science and Technology | NOVA University Lisbon (NOVA FCT), under the following conditions. 1. Scientific Area Social Sciences and Humanities – History 2. Mandatory Admission Requirements Applicants must
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achievement in health economics more broadly Demonstrated experience in applying a range of economic methods such as economic evaluation, health technology assessment or health utilisation modelling Strong
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applying a range of economic methods such as economic evaluation, health technology assessment or health utilisation modelling Strong analytical skills and ability to build partnerships Track record
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project research; - to build or help build scripts (Python or equivalent) to trace the spread of the aforementioned vocabulary in early modern print; - build up a taxonomy of early modern prisca-related
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- Interuniversity Center for the History of Science and Technology, Faculty of Sciences of the University of Lisbon under the scientific supervision of Professor Cornelis Johannes SCHILT. Fellowship duration
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
knowledge in at least one of the following areas will be highly regarded: the technology of large language models, natural language and text processing, qualitative and quantitative methods for evaluating