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, development, and evaluation of interactive platform features as part of the research methodology, collecting and analysing data on user engagement through tools for feedback, co-creation, and project tracking
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active exploration has the potential to advance the development of multi-sensory interactive technologies and the innovative design of immersive systems, as well as the modeling of intelligent adaptive
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interdependencies support or limit the feasibility of a clean energy transition. Your key tasks will include: Designing and implementing an agent-based inspired model of global material and financial networks
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independently. In addition, you are motivated to interact with and coach master students, while enhancing your own skills and competencies. You also have: An MSc in Transport Engineering, Mechanical Engineering
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design and implement research projects on environmental, technological, energy and societal transitions, and on related risks and hazards affecting maritime and port territories. You will join a university
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capable of selectively disrupting endosomal membranes. In this PhD position your role will be to design and synthesize the polymers, devise strategies to tether them to EVs, and test the obtained hybrid
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mosquitoes and the pathogens they transmit, and on the basis of these results, designs new strategies to control disease transmission. The PhD student (M/F) will benefit from interactions with students and
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are met without compromising the planet's health. While WP1 focusses on the next-generation AM, WP2 designs remanufacturing using AM, WP3 looks into regulatory, economic, political, environmental, and
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University’s Faculty of Geosciences studies the Earth: from the Earth’s core to its surface, including man’s spatial and material utilisation of the Earth – always with a focus on sustainability and innovation
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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 22 days ago
Job Code: Tü_99 Job Offer from October 21, 2025 The Max Planck Institute for Intelligent Systems (MPI-IS) conducts research to advance intelligent systems that perceive, learn, and interact. Through