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, Düsseldorf, and Aachen Comprehensive training courses and individual opportunities for personal and professional further development Extensive company health management and a variety of sports activities (e.g
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, Computational Science, or a related field; a PhD or equivalent experience is preferred Strong programming skills in Python, with experience in machine learning frameworks such as PyTorch or TensorFlow
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-08187-1 Your Profile: Master and PhD in biology, genomics or bioinformatics Strong background in data science or machine learning (deep learning, statistical modeling, or large-scale data analysis a plus
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possible means for networking with colleagues and pursuing sports alongside work Comprehensive training courses and individual opportunities for personal and professional further development Extensive
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large, antiferromagnetically-induced anomalous Hall effect is a potentially valuable discovery for memory applications. In this PhD project, we would like to explore new topological quantum materials
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quantity of components produced per unit of time would be reduced. In the funded project, the industrial partner provides the base substrate to be coated, the Fraunhofer Institute takes care
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valuable discovery for memory applications. In this PhD project, we would like to explore new topological quantum materials using neutron scattering techniques combined with in-house characterizations. Since
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potential of the plasma-facing units towards industrial application This PhD project will be part of the BMBF-supported project „Synergie-Verbund Brennstoffkreislauf und Tritium Technologien” (SyrVBreTT
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for networking with colleagues and pursuing sports alongside work Comprehensive training courses and individual opportunities for personal and professional further development Extensive company health management
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of thermomechanical properties of the joined plasma-facing units Explore the upscaling potential of the plasma-facing units towards industrial application This PhD project will be part of the BMBF-supported project