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digitalisation. To achieve our goals, we rely on our specific research, development and technology competencies, which are the basis of our commitment to excellence in all areas. With our open culture
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Membranes and Textiles laboratory, interdisciplinary teams work on the development, integration and validation of novel sensing systems - particularly for textile applications. The focus lies
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Max Planck Institute of Molecular Physiology, Dortmund | Dortmund, Nordrhein Westfalen | Germany | 1 day ago
the future of science. As a PhD student, you will benefit from: Fully funded positions (via employment contracts with full social benefits) Dedicated mentors who support your scientific and career development
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an emphasis on reaction development and optimization. Training BioProcess aims to train the next generation of bio-innovators. Our interdisciplinary programmes prepare PhD students and researchers with the real
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for translational biocatalysis, addressing critical needs in the development of sustainable biotechnologies. The programme will equip PhD students with advanced expertise in enzyme science, machine learning, enzyme
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quantitative data and new qualitative data. The postholder will contribute to the development and coordination of the Race Equity in Care survey and qualitative interviews with carers, including supporting
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digitisation. To achieve our goals, we rely on our specific research, development and technology competencies, which are the basis of our commitment to excellence in all areas. With our open culture
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for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 20 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different
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the evolution of massive binary stars into compact binaries as sources of gravitational-waves and astrophysical inference on gravitational-wave observations. My research group on massive binary evolution -- also
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fees will be paid. We expect the stipend to increase each year. The start date is October 2026. This fully funded PhD project will merge the latest tools from experimental directed evolution with