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to contribute to sustainability transitions. You explore how these collectives and their networks reach beyond their immediate communities, and how they can build the infrastructures needed for large-scale
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communication networks? Optical wireless links using highly directional steerable laser beams can securely serve a high density of devices at high data rates. Your project optimizes energy efficiency and develops
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sizes and frequencies by: Measuring rock fractures from UAV data using manual and automated mapping approaches (e.g., machine learning, convolutional neural networks). Monitoring physical weathering
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Understanding how brain cells interact to form circuits, how circuits give rise to networks, and
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of the North Sea maritime infrastructure through AI-enabled, human-centered, and data-driven cyber-physical threat intelligence. This large interdisciplinary project builds on insights from network
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(C1 level). Additional Information Benefits A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful
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, process management, and geo-information science. The faculty works closely with other faculties, universities, private parties, and the public sector, and has an extensive network in the Netherlands as
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, such as physics-informed neural networks (PINNs), and apply them to regenerative processes. Collaborative by nature – You enjoy working across disciplines and feel at ease in an international
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international academic network. Supervisors: Prof. Louis Visscher (first supervisor) and Dr. Aylin Aydin-Çakır (co-supervisor) Where to apply Website https://www.academictransfer.com/en/jobs/357019/phd-position
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in field campaigns in Kenya, as well as dissemination and teaching activities. This PhD position is fully funded for 4 years. About the Wildbotics project: Wildbotics is a Marie-Curie Doctoral Network