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PhD degrees in computer science, a BSc in artificial intelligence, and an MSc degree in data science. The project is supervised by Stelios Tsampas (stelios@imada.sdu.dk ) and Marco Peressotti
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in relation to the department – internally as well as externally – and to contribute positively to the department’s working environment, everyday life and ongoing operation. More information about our
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of state-of-the-art imaging technologies, high resolution single cell data sets that will be established on non-trial samples. The PhD will include bioinformatic support from internal and international
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(e.g., single-cell and bulk RNA-seq, ATAC-seq and ChIP-seq) and computational data analysis is considered highly advantageous. Selected references: Jakobsen et al., 2024. MYC activity at enhancers drives
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devices. The microneedles are manufactured by a collaborating group (Biomaterial Microsystems) at DTU Nanolab. The PhD candidate will be a part of the Pharmaceutical Technology group (see more information
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industrial partners, both national and international Perform data analysis, write scientific articles and present your research at conferences and meetings Contribute to teaching and student project
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Helicobacter pylori bacteria interact with each other and their host in a gastric organoid and organoid-derived monolayer cell culture system. Information on the department can be found at https://globe.ku.dk
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career development. Training in state-of-the-art technologies and data analysis as well as research management, oral and written communication. Participation to international conferences to facilitate
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of the project, e.g. chemistry, medicinal chemistry, nanoscience. For information of eligibility of completed programmes, see General assessments for specific countries and Assessment database . Terms
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candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules