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(m/f/d) Klinik und Poliklinik für Radiologie Scope of duties The Department of Radiology is at the forefront of developing cutting-edge interventional oncology techniques, bridging the gap between
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to contribute to groundbreaking work in our research area. About the Program: We are implementing a program that creates an additional two year postdoctoral position exclusively for female researchers working in
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those tools for practical applications. For an overview of our previous work, please check out our web pages on software/design automation for microfluidics . Conventional Circuits and Systems: We develop
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analyzing data from a Germanic language and a typologically different language (e.g., a Romance language), based on independently developed research questions. Research planning and parts of data analysis
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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
developing scalable machine learning models for applications in materials science. Your tasks include contributing to the development of the Materials Learning Algorithmssoftware package and applying machine
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Your Job: You will develop impactful machine learning techniques to deal with complex quantum states. Possible research directions and tasks include: Method development to advance neural quantum
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development. It is one of the world's leading research institutions in its field and offers natural and social scientists from around the world an inspiring environment for excellent interdisciplinary
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, and energy systems into a comprehensive bio-based circular economy. We develop and integrate techniques, processes, and management strategies, effectively converging technologies to intelligently
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process A wide range of opportunities for further training and career development Remuneration for the position is based on pay group 13 TV-L. The contract is limited to 24 months. For further questions
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study of artificial nanostructures with purpose-engineered quantum states Development of novel quantum sensors at the atomic scale Supervision and mentoring of masters and doctoral students Publication