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Field
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foundations of data science and AI. The selected candidate will be part of the Foundations Cluster of CIDSAI and will collaborate closely with Professor Saurabh Ray, Professor Keith Ross, and Professor Pierre
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of the university hospitals in Germany. We are part of the Excellence Cluster ImmunoSensation (https://www.immunosensation.de/) at University Bonn, which is now the most successful University within the Excellence
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genomics and biosynthetic gene cluster (BGC) analyses Microbiomics (e.g., NGS) A scientific diving license A full car driving license At a workplace, directly on the Kiel Fjord with many leisure and
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is connected to the vibrant local ecosystem for data science, machine learning and computational biology in Heidelberg (including ELLIS Life Heidelberg and the AI Health Innovation Cluster ). Your
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presentations Excellent communication skills in English (both spoken and written) Desirable: Experience in microbial genomics and biosynthetic gene cluster (BGC) analyses Microbiomics (e.g., NGS) A scientific
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programming language (R, Python, or Perl) and experience working in Linux and/or high-performance cluster environments. A strong ability to perform analytical reasoning to extract biological insights from data
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working in Linux and/or high-performance cluster environments. A strong ability to perform analytical reasoning to extract biological insights from data-driven approaches will be critical. In addition
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for Algebraic Geometry and Arithmetic is one of the largest clusters in this area in Germany. Ten research groups are part of the new Research Training Group, covering research fields such as algebraic geometry
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-performance cluster environments. A strong ability to perform analytical reasoning to extract biological insights from data-driven approaches will be critical. In addition, familiarity to interrogate publicly
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programming language (R, Python, or Perl) and experience working in Linux and/or high-performance cluster environments. A strong ability to perform analytical reasoning to extract biological insights from data