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appointment) in digital text analysis, digital humanities, linguistics and literature, applied linguistics, communication sciences, computer sciences or similar. You have a background and/or strong interest in
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provide this information if needed. (!) Applications lacking this information will not be considered. Pre-selection (UGent) and Selection (CSC) UGent and CSC will jointly select candidates
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models combining machine learning, and physics-of-failure (PoF) approaches using in-situ data • You work on projects independently • You will present your work at international conferences and
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of the patient samples, and the UAntwerpen Centre for Proteomics, where you will analyse lung biopsies using mass spectrometry imaging. The imaging data, together with all other relevant clinical and omics data
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conditions and criteria of the regulations for doctoral fellowships is considered free of personal income tax. Click here for more information about our salary scales. All Ghent University staff members enjoy
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on natural language processing tasks (NLP), initially mostly on advanced information extraction, but recently also covering other topics, such as conversational agents. In this PhD you will focus on designing
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mathematics. You have experience working with data on inequality or poverty and have experience with survey experiments. You are proficient in spoken and written English. What we offer We offer a doctoral
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/). Further information can be found on the website of the university: https://www.kuleuven.be/english/life-at-ku-leuven Application procedure Please submit your application through the KU Leuven portal. In
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the proposed research topic the names and contact details of 2 referees For more information: please contact valeriya.malysheva@vib.be or Sebastiaan.DeSchepper@vib.be
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for wind turbines, with the ultimate objective of including structural health information in windfarm asset management to optimise structural lifetime consumption while guaranteeing optimal power production