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in the wild. The planned work involves optimizing IRL using agent-based simulations, applying IRL to empirical fish movement data to study reward functions in the context of adaptive strategies, and
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, ideally with knowledge of Drosophila genetics and live imaging the applicant should be able to relocate for 6 months to our collaborator in Chile, where they will develop and optimize novel metabolite
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multi-parameter ion-beam tuning procedures (collaboration with Univ. of Vienna and HZDR) and developments of machine learning (ML)-algorithms for optimization of beam parameters and control of relevant
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innovative cutting-edge research at the Institute of Ophthalmic Research (FIA) and thus combines pioneering basic research with clinical translation in order to optimally bring new diagnostic procedures and
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of expression systems Metabolic flux analysis for pathway characterization and optimization Development and operation of continuous fermentation processes under strict anaerobic conditions Strategic contribution
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strong interest in applied AI in bio-medical settings several years of experience in data analysis / machine learning / AI as well as, optimally, multi-omics integration, lipidomic analysis, and/or single
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Senior Scientist / Group Leader on Bioinformatics / Computational Biology on RNA Regulation in Disea
, epitranscriptomics (e.g., detection of RNA modifications based on nanopore direct RNA sequencing data), and integrative multi-omics analysis Build and optimize robust bioinformatics pipelines for data integration
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can find out more about us here . We are offering an exciting opportunity as Head of Operations (f/m/x). Your tasks Operational Excellence: Shape and optimize workflows across imaging, AI analysis, data
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experiments using gene-edited hematopoietic stem/progenitor cells Develop and optimize gene editing protocols for ELANE for therapeutic use Evaluate safety, efficacy, leukemogenicity and off-target effects
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to translate this knowledge into innovative, optimized vaccine candidates (PMIDs: 35015104, 34990590, 33323394, 30439392; patent: WO2024003343A1). About the Project: You will contribute to a project