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Cities" supports cities and their stakeholders in the cross-sectoral transformation process, combining expertise in climate, energy, mobility, and urban planning. With the aim of creating climate-neutral
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et al., 2020). It provides a single-session, universal intervention delivered to between 10 and 200 individuals at a time, and it contrasts with other online programs that are formed from multiple
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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and Processing Section, Materials Science and Technology Division (MSTD), Physical Science Directorate (PSD) at Oak Ridge National Laboratory (ORNL). As part of our team, you will work with ORNL’s
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The Max Planck Institute for Neurobiology of Behavior – caesar • | Bonn, Nordrhein Westfalen | Germany | about 13 hours ago
an exciting opportunity to outstanding Master's degree holders (or equivalent) from any relevant field (life sciences, mathematics, physics, computer science, engineering, etc.) to be immersed in a stimulating
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German Cancer Research Center (DKFZ) Heidelberg • | Heidelberg, Baden W rttemberg | Germany | about 13 hours ago
students receive a doctoral degree from the Biosciences, Medical, or Physics Faculty of the prestigious University of Heidelberg, the oldest university in Germany. The DKFZ is Germany’s largest biomedical
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the value of the green transition. The project will involve a multi-stakeholder innovation process, utilizing a framework of multiple-loop learning to encourage farmers to reflect on their relationship with
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43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load from YouTube. Accept cookie and
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that information and documentation (in the form of attachments) submitted via the job application can also be used by NMBU in a possible admission process. Applicants invited for an interview are expected to present
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advances in process-based crop models such as APSIM, their integration often remains limited. This project proposes to get more out of on-farm data streams and process models through their more formal