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With its work, the Leibniz Institute of Vegetable and Ornamental Crops (IGZ) contributes to a better understanding of plant systems and thus to the development of sustainable and resilient
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umbrella organization of outstanding non-university research institutes in Germany. PRIF is headquartered in Frankfurt and has a branch office in Berlin. More than 100 employees from research, administration
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to climate neutrality. The focus is on work on the electricity and building sectors, industry, sustainable finance and international sector-related cooperation in climate protection. Starting on 01.10.2025
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, our team of approximately 16,100 dedicated employees works to make the world a healthier place. Our goal is to be one of the leading university hospitals while also being the best employer in our
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facing science, society and industry. With its ultramodern research infrastructure, its interdisciplinary research platforms and its international networks, DESY offers a highly attractive working
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/) and supervise several research associates working on the project. The Professorship of Energy Management Technologies closely collaborates with other professorships at TUM, industry partners, and
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management. This project mainly focuses on the analysis and optimal control of the underlying SPDE and the associated numerical implementation. As a simplified model for the underlying phenomena, we are going
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industry. To succeed in meeting these responsibilities, Helmholtz concentrates its work in six research fields: Energy, Earth and Environment, Health, Information, Matter, as well as Aeronautics, Space and
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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
measures, including those implemented by the fishing industry voluntarily. In addition, the project requires addressing and answering key questions regarding krill fishery management, such as: Does
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The Network Analysis and Modelling group investigates how genetic variation shapes gene regulation, protein function, and, ultimately, observable plant traits. Using machine learning and network