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? Then consider advancing these theories with us. In this project, we aim to extend the powerful tools of statistical mechanics on graph and network models to broader applications in soft and active
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represent stakeholder preferences. The integrated Research Training Group (RTG) will provide doctoral researchers with an attractive qualification program, foster networking, enable internationalization and
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builds bridges between past and future, between community and academia. Funded by the German Research Foundation (DFG), the RTG aims to reveal enmity as a processual, relational, and deeply ambivalent
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programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: SIMD performance engineering. Machine Learning. Communication-efficient
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short courses in the core subjects of this PhD programme including process intensification and green chemistry. This project is part of the Process Industries: Net Zero (PINZ) Centre for Doctoral training
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advantage High motivation to complete the doctorate within three years Very good organizational skills Ability to show initiative and work independently Very good cooperation and communication skills and the
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procedures to be applied to RNPU networks in combination with memristive materials and applying the theoretical hysteron concept. Information and application Are you interested in this position? Please send
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collection programs (e.g. R, fomr) Very good English and German skills (or willingness to acquire them) Interest in media communication We offer Part of a young and dynamic Emmy Noether Research Group Diverse
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of Cellulose Suspensions for Food Applications is part of a European-wide Doctoral Network on Edible Soft Matter , funded by the European Union under the framework of the Marie Sklodowska-Curie Actions (MSCA
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interest in applied research Fluency in written and spoken English Our offer A vibrant research community in an open, diverse and international work environment Scientific excellence and extensive