184 engineering-computation "https:" "https:" "https:" "https:" "https:" "CNRS " positions at Nature Careers in Germany
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analyzing developmental-oncogenic signaling pathways using a combination of experimental and computational approaches. Within this project, we are creating perturbation-based genetic maps at the level of
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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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full potential: targeted offers for your personal development promote your talents Our Corporate Health Management Program offers a holistic approach to your well-being Contact: Dr. Aynur Kaya Copur
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your talents Our Corporate Health Management Program offers a holistic approach to your well-being Contact: Claudia Funke Phone: +49 6221 42-3248 The position is initially limited to 1 year with
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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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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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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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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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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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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