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Field
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with free electron lasers offer a new route to the structure determination of biomolecules. Due to the super-low signal-to-noise ratio, computing the structure from such data is challenging, and new
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. Please indicate in your application which of the above listed projects is most intriguing for you. Your profile Eligible candidates have strong skills in computational molecular (bio)physics, statistical
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 3 months ago
artificial intelligence (AI) and machine learning (ML), we aim at modeling large-scale, high throughput biomedical data, developing new drugs and treatments, analyzing biomedical images, and integrating multi
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balance. Lead data analysis efforts, applying advanced signal processing and statistical techniques to extract meaningful insights from electrophysiological and imaging data. Collaborate with
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Numerical Mathematics (Chair of Prof. B. Wohlmuth) within the DFG funded SPP2311. Research focus: Biomedical simulations of cerebral aneurysms with Lattice Boltzmann methods. Field of Research: Multiphysics
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repairing damaged extracellular matrix and initiating cartilage healing. We combine our expertise in light-driven chemistry, protein chemistry, tissue engineering, and process engineering to develop a
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biology Experience with multi-omics data analysis or AI-driven biomedical research is a plus Interest in tumor microenvironment, immune response, and systemic effects of local therapies Ability to work
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point here is how digital technologies, particularly artificial intelligence (AI), are transforming the way knowledge is created and disseminated. Future postholders’ research should fit within this scope
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theoretical and empirical cognitive science point of view (e.g., mechanistic interpretability, neuro-symbolic systems, human-machine comparison). The project entails co-supervision of PhD students and is
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, computer-aided drug design or a related field. Track record of scientific innovation, as demonstrated by scientific publications, patents, relevant presentations, or software code. Demonstrated experience in