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energised — not deterred — by problems that sit between physics, learning and the messy real world. Your experience and profile: a PhD (completed or near completion) in Machine Learning, Computer Vision
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substantial freedom to shape the scientific direction of the research within this focus, in close collaboration with an interdisciplinary team of scientists. Job requirements PhD degree in Earth sciences
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will not be pre-assessed or pre-evaluated via email or phone; Only applicants with research experience (during or after their PhD) related to nature-based solutions, social innovation, or community
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in close collaboration with Sjoerd Dirksen , Johannes Maly , and a PhD student that will start at the Ludwig-Maximilians-Universität (LMU) in Munich, Germany. During the project, you will spend two
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also take an active role in group activities, such as master and PhD student education, presentation of your work, maintenance of lab organization, and societal and stakeholder outreach. What we ask
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of uncertainty and complexity. Applicants must have: A PhD degree in a relevant field, e.g. urban geography, urban planning, innovation studies, (social) design (research), public administration
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executed. In close collaboration with PhD researchers and project partners from TUM and ETH, you will contribute to the development of novel control and learning methods for aerial manipulators and multi
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to support your professional growth. Job requirements You hold, or expect to obtain before the start of the project, a PhD degree in a relevant discipline. You have a relevant research track record in one
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) power-electronic converters that turn green electricity into efficient, high-power heat for Carbon Capture and Utilization (CCU) processes. Rather than treating the heater as a fixed load, you design the
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Requirements A PhD in computer science, artificial intelligence, human–computer interaction, computational social science, digital humanities, cognitive science, or a related field; Experience with