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culturing, integrating multiple automated subsystems with image-based machine learning models. Our objective is to enable robotic decision-making through machine learning, paving the way for a standardized
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cancer Establish single-cell perturbation screening approaches to investigate cell fate decisions and disease mechanisms Integrate high-content imaging, single-cell transcriptomics, and functional assays
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/continued employment is being sought) Contract:TV-L Your tasks As a key member of our interdisciplinary team, you will: Harness a comprehensive dataset spanning digital pathology images, methylation profiles
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bioinformatics workflows to integrate spatial proteomics, spatial transcriptomics, and digital pathology images, enabling the assessment of cellular heterogeneity and tissue architecture in brain cancer. Combine
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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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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
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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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process Conduct quantitative content analyses of text-based data on the coverage of political conflict Prepare, organize, and supervise the fielding of mass population surveys on attitudes and behaviors
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& Societies, see: www.transient-spaces.org/ . For questions regarding the application procedure, please contact Brigitte Heine: brigitte.heine@uni-heidelberg.de . For questions regarding the content, please