93 engineering-computation-"https:"-"https:"-"https:"-"https:" positions at Nature Careers in Germany
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Industry Fundraiser (f/m/x) 102854 Full time 39 hrs./week Neuherberg near Munich The novel Helmholtz Association-wide Biomedical Engineering Initiative translates groundbreaking research into real
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collaboration partners Your Profile Academic degree (M.Sc. and Ph.D.) with a background in computer science, bioinformatics, physics, or a related field Proven experience in next-generation sequencing (NGS) data
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with clinical PACS systems and DICOM data handling Knowledge of Python and/or MATLAB, especially in scientific computing and image processing contexts Enthusiastic and motivated team player Good
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initiatives at the interface of biology, AI, engineering and medicine. You will be part of a collaborative and forward-thinking team, contributing to the MDC’s vision of advancing human health through data
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participants Apply advanced analytical methods for integrative multi-omics analyses Implement state-of-the-art statistical and computational techniques for disease prediction Leverage extensive, high-quality
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opportunity to learn the process and challenges of drug discovery from the inside, including additional training and mentoring program. In addition, benefit from the rich packages for employee benefit. Our most
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program in Evolutionary Anthropology. The position offers substantial core funding to support an independent research group. Office and laboratory space will be provided both at Leipzig University and at
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communication skills in English are mandatory German speaking skills are not required This is a wet-lab position, so applicants with a purely (bio)informatics background will not be considered. WE OFFER: Salary
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including the Faculties of Biology, Psychology, Physics, Chemistry, and Mathematics and Computer Science as well as the local Max Planck Institute for Molecular Biomedicine. To support emerging scholars early
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interdisciplinary research in molecular, structural, and cell biology as well as in physiology, biophysics, epi /genetics, (bio)informatics, and multimodal data analysis. In this project, we will elucidate