494 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr"-"Episteme" positions in Germany
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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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19.07.2022, Academic staff The Machine Learning and Information Processing group at TUM works in the intersection of machine learning and signal/information processing with a current focus on deep
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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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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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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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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
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available in the further tabs (e.g. “Application requirements”). Programme Description The Jeff Schell Fellowship can be granted to MSc and PhD students from all fields of natural science and data science
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or interest in this position. General information and research topics of the Maaß-group can be found at www.maass.nu. The position is suitable for disabled persons. Disabled applicants will be given preference
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Data-Driven Autonomous Mobile Robotics for Aquatic Biodiversity Monitoring Shape the Future of Field Robotics You want to develop robotic systems that do not just work in the lab, but operate robustly in