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are involved in a large number of third-party projects and a large international network. This project is offered as part of a Hans Fischer Senior fellowship through the TUM Institute for Advanced Studies (https
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Job description: DESY The European XFEL is the most powerful X-ray Free Electron laser in the world. The accelerator complex, including the 1.5 km long superconducting accelerator, is operated and
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highly motivated researchers in all areas of the field, including but not limited to: quantum algorithms and complexity; quantum information theory; quantum cryptography; quantum information in many-body
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Helmholtz Association of German Research Centres | Oldenburg Oldenburg, Niedersachsen | Germany | 3 months ago
approach that is necessary to tackle complex environmental problems. Postdoctoral researchers funded under this project will work together as a team and in collaboration with experts from the arts
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models for complex childhood diseases by integrating genetic, clinical and environmental factors using data from cohort studies. Identify molecular targets and pathways associated with genetic
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. Microorganisms in the gut microbiome play a key role in health and disease, yet their behavior in complex and dynamic microenvironments remains poorly understood. Within a Helmholtz collaboration, we are
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 1 month ago
, please contact Alyson van Raalte at [email protected] . The MPIDR is one of the leading demographic research centers in the world. It is part of the Max Planck Society , a network of 84 institutes
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Rydberg Atom-Arrays • Numerische Methoden mit Tensornetzwerken • Topologische Ordnung und (de)confinement in string-net Modellen • Quantenfeldtheorie, Gitter-QCD Bitte senden Sie Ihre Bewerbung per E-Mail
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neural networks that handle the many challenges of integrating such complex medical data sources on large-scale studies and the translation to clinical practice. Qualifications PhD in (Bio-)Statistics
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, imaging). • Solid foundations in signal processing and statistics. • Experience with machine learning for regression (e.g., tree-based methods, neural networks) • Hands-on experimental skills: ability and