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strong foundations in machine learning and artificial intelligence, as well as a solid mathematical background. The position requires a strong interest in exploring multiple research directions toward
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integration, metadata harmonization, preprocessing, and quality control of large public sequencing datasets Implement and benchmark machine-learning models for predicting biological and ecological metadata from
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genebank. Your tasks: Next Generation Sequencing for chromosome scale assembly (PACBIO Hifi + Kinnex, Hi-C) comparative genomics analysis gene functional analysis work in a team with IPK`s central NGS
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manufacturing Use and further develop CRISPR (epi-)genome editing methods in CAR T cells Using cellular (e.g., FACS) and molecular (e.g., single cell analysis, next generation sequencing) methods to characterize
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genome and transcriptome sequence analyses with metabolomics to investigate natural product syntheses in bacteria. Our aims are the discovery of novel antimicrobial compounds and the specific induction and
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Association. The institute is equipped with state-of-the art instruments for microbiological, chemical, and molecular work including an own next-generation sequencing, metabolomics, and bioinformatics core
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Solid programming skills (e.g., Python, MATLAB, C/C++ or similar) Experience in MR sequence programming is highly desirable Strong interest in translational, across-organ imaging research Ability to work
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text analysis and (semi-)automatic labeling, e.g., text/segment classification, sequence labeling, span-based labeling, information extraction (NER/relations, if relevant for coding), transformer
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excellent conditions to perform the work. We offer multiple opportunities as listed below: Intensive scientific support, close collaboration with cooperating institutions and enrolment in the local PhD
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: Develop and complete a doctoral dissertation aligned with work package 1 objectives Requirements: Master’s degree or PhD in Oceanography, Climate Science, Physics, Biogeochemistry, Earth System Science or a