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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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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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/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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for employees with relatives in need of care Wide range of health, prevention and sports offers Contact & Application To Apply Please send a CV, cover letter, links to code repositories and contact information
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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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. Prerequisites Doctoral degree with quantitative training or research experience Training and experience in quasi-experimental methods is a plus Strong coding skills in R, Stata, or other statistical software
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elections in 2030. Your Tasks: Prepare, organize, and oversee the collection and coding of media data on climate-change-related debates and position-taking, including supervising the partially manual coding
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quantitative training or research experience Training and experience in quasi-experimental methods is a plus Strong coding skills in R, Stata, or other statistical software package Good communication skills in