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at Heidelberg University and Stanford University. The group works on a wide variety of research, with foci being medication effectiveness, health services research, and population health issues. One key data
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Heidelberg University and Stanford University, including population health researchers, clinicians, and methodologists. The researcher will lead analyses in large-scale electronic health record data
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. Involvement in immunology projects with single-cell transcriptomic data analysis. Bioinformatician/Computational Biologist/Systems Immunologist (f/div/m) for two years initially with a possibility of extension
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advanced wet-lab experience in molecular biology and in reverse genetic approaches. • You are familiar with FAIR data handling and in silico data analysis. • You work precisely and reliable. YOU FIT TO US
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18.10.2022, Wissenschaftliches Personal The lab for Artificial Intelligence in Medical Imaging (www.ai-med.de) is looking for a Post-Doc. The task will be the multi-modal modeling of medical data
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19.07.2022, Wissenschaftliches Personal The Machine Learning and Information Processing group at TUM works in the intersection of machine learning and signal/information processing with a current
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contact Philipp (philipp.rosner@tum.de / 089 289 15352). We are looking forward to receiving your informative documents (cover letter, resume, attachment). Please send them with the job title in the subject
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required and • excellent organizational and oral/written communications skills (command of the German language is an asset but not a must). Application Please send a cover letter (specifying a possible
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. Applications from qualified women are therefore expressly welcomed. Interested? You are welcome to contact us at any time with questions or for additional information. Please send your application with cover
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. The position is embedded in the EU-funded project Biodiversity Meets Data (BMD; bmd-project.eu/) . The BMD project aims to provide a toolbox equipped with a suite of Virtual Research Environments (VREs