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The successful candidate will join the young, vibrant, and interdisciplinary FINATRAX Research Group, which builds bridges between business research and information systems engineering. The group conducts research on the application and the impact of digital technologies like DLT/Blockchain,...
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application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered. The University
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) indicating reference to the subject areas mentioned above Contact information of at least two referees Early application is highly encouraged, as the applications will be processed upon reception. To ensure
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will be processed upon reception. To ensure full consideration, candidates should apply by 15 August 2025ONLINE formally through the HR system. Applications by Email will not be considered. All qualified
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as raw materials. Thanks to bond-exchange chemistry our LCEs will be re-processable and re-usable. To dramatically scale up LCEs in size as well as in number, we are developing a ground-breaking new
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requested at some point during the selection process Early application is highly encouraged, as the applications will be processed upon reception. To ensure full consideration, candidates should apply by 30
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Copy of 3 publications The name, current position and relationship to the applicant, of one referee Early application is highly encouraged, as the applications will be processed upon reception. To ensure
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relationship to the applicant, of one referee Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by
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PhD thesis. If you choose a publication with multiple authors, please also explain your own contribution Early application is highly encouraged, as the applications will be processed upon reception
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” approach. By harmonising and analysing diverse biomedical data, while focusing on the secure data processing and predictive modelling, we aim to drive progress in translational medicine, improving