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, troubleshooting and routine upkeep Develop, optimize and validate sample-preparation and data-analysis workflows for spatial metabolomics, lipidomics and multimodal studies Act as contact for internal and external
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decisions and functional consequences in neurodevelopmental disorders and brain cancer. Your Role: Develop and optimize human organoid and assembloid models for studying neurodevelopmental disorders and brain
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into automated cell culture processes and assist with sensing to facilitate the generation, of long-term cultures and analyses of patient-derived or iPSC-derived organoids Your profile: We seek a highly motivated
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literacy with at least basic programming skills (R, Python). Analytical mindset, with a keen interest in advancing proteomic methodologies Knowledge of cancer biology is an advantage We offer Cutting-edge
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process A wide range of opportunities for further training and career development Remuneration for the position is based on pay group 13 TV-L. The contract is limited to 24 months. For further questions
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Stellenanzeige teilen wanted for the next possible date at the Department of Surgery, University Hospital Heidelberg for the Translational Pancreatic Cancer Research, AG Neoptolemos. Job-ID: V000014374 Field
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Limitation:Temporary (2 Jahre, mit Möglichkeit zur Verlängerung) Contract:TV-L Key Responsibilities Develop and implement computational pipelines for processing and analyzing ONT RNA/cDNA sequencing data. Apply machine
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Contract:TV-L Your tasks The available research projects aim to understand and develop strategies to treat heart disease You will combine epigenetic, chromatin interaction analysis and single-cell approaches
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of methodologies, from in-depth behavioral assessments to computer vision, machine learning and neuroimaging techniques, we aim to uncover the complexites of neurodevelopmental disorders. Our
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the POEM platform head as well as other postdocs and research groups in the interdisciplinary POEM network Integrating the findings into automated cell culture processes and assist with generation, long-term