270 parallel-computing-numerical-methods "Prof" Postdoctoral research jobs in Germany
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Postdoctoral Research Associate (f/m/d) for an Interdisciplinary Research Project on AI in Education
funding program starting January 1, 2026. The workplace and employment will be at the Center for Media, Communication and Information Research (ZeMKI) in the research lab "Media & Education" led by Prof. Dr
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analytical and numerical methods for the investigation of novel quantum magnetic states of matter in frustrated spin systems. Methods to be applied include, e.g., field theory approaches, exact diagonalization
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sounding systems Basic knowledge on middle atmosphere dynamics and spectroscopic methods Fundamental programming skills in, e.g., Python, Julia, C/C++. Expertise in automatic data processing and handling
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the EU Research Framework Programme? Not funded by a EU programme Reference Number A245-25 Is the Job related to staff position within a Research Infrastructure? No Offer Description The University
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Clinical Cooperation Unit (headed by Prof. Dr. med. Johannes Betge) aims to identify cancer vulnerabilities and uncover mechanisms of treatment resistance by using patient-derived cancer models and high
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 27 days ago
institute of the Max Planck Society and is dedicated to the study of human cognitive abilities and brain processes as well as the development of neuroimaging methods. The Brain Networks Group, led by
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interoperability with Medical Informatics Initiative (MII)/FHIR standards Design and implement methodological concepts and software for benchmarking frameworks for AI evaluation Independently develop and implement
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is more diverse and dynamic than previously appreciated. This project aims to develop and apply a novel chemo-enzymatic method to label and extend the 5′ cap, enabling its detailed analysis through
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Clinical Cooperation Unit (headed by Prof. Dr. med. Johannes Betge) aims to identify cancer vulnerabilities and uncover mechanisms of treatment resistance by using patient-derived cancer models and high
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pathology to resolve single cell heterogeneity and identify subtle cellular differences in cancers. The method is used to identify cancer clones in melanoma cases and support clinical decisions with deep