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to (i) develop and adapt state-of-the-art methods from data science and (ii) apply the acquired knowledge to the research domains of the respective Helmholtz centers. The research will be accompanied by
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student to join our DFG funded cutting-edge research project, which is focused on developing high-performance magnesium (Mg) alloys. The position is initially limited to 36 months (starting as soon as
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developing countries (DAC) from all over the world. It is intended to provide excellent and motivated candidates with the opportunity to strengthen their research and analytical skills throughout the process
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of the most important employers in our region. Our broad range of subjects, the dynamic development of our main research areas, and our central location in Cologne make us attractive for students and
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Your Job: In this position, you will be an active part of our Simulation and Data Lab for Applied Machine Learning. Within national and European projects, you will drive the development of cutting
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to contribute to sustainable development. training future academic and professional leaders, qualified professionals’ involvement in the solution of development-related problems in Latin America graduates
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environment, which hinders the full use of existing and expected data. As part of the Translationsallianz in Niedersachsen (TRAIN), which integrates various regional partners from translational research
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Max Planck Institute of Immunobiology and Epigenetics • | Freiburg im Breisgau, Baden W rttemberg | Germany | 1 day ago
-oriented interdisciplinary training in epigenetics, biochemistry, cell biology, developmental biology, molecular biology, metabolism and biophysics. We train doctoral researchers to become self-reliant and
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PhD position in interpretable machine learning for dementia prediction. The project focuses on developing interpretable deep learning models for dementia prediction using multi-modal data, including MRI
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individual opportunities for personal and professional development Comprehensive company health management Optimal conditions for balancing work and private life as well as a family-conscious company policy 30