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the topic: “AI-based processing of CAD models for automated planning of computer-aided manufacturing.” The candidate has the opportunity to pursue a doctoral degree (Ph.D.). Remuneration is 100% TVL E13
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personal data in the course of the application process pursuant to Art. 13 of the General Data Protection Regulation of the European Union (GDPR) at https://portal.mytum.de/kompass/datenschutz/Bewerbung/. By
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research in the broad field of computational methods for the built environment. Particular emphasis is placed on building information modelling, digital drawings, point cloud capturing and processing as
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particularly encouraged to apply. Applicants with disabilities are treated with preference given comparable qualification. further information: www.bio.nat.tum.de/cell/home/ The position is suitable for disabled
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that you have acknowledged the above data protection information of TUM. Kontakt: shadi.albarqouni@helmholtz-muenchen.de More Information https://albarqouni.github.io/team/
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focuses on developing information theory, coding schemes, and other algorithmic methods for DNA data storage. Here is a video on the topic: https://www.bbc.com/future/article/20151122-this-is-how-to-store
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for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance. Data Protection Information: When you apply for a position
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molecular pathways of cancer by analyzing and integrating multi-omics and clinical data. Key Responsibilities Analyze and interpret multi-omics datasets, including genomic, transcriptomic, and clinical data
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-throughput data acquisition Quality control, method validation, and standardization of analytical procedures Collaboration with research groups within BioSysteM and exchange with your Technology hub colleagues
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reciprocal suitability, severely-disabled applicants as defined in SGB IX will be preferred. For further information, please contact Ms. Arya Das at a.das.leibniz-lsb(at)tum.de . To apply, please submit your