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Field
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spatial data analysis with geo-information systems (GIS) Good knowledge of seagrass, the factors controlling its spatial distribution and other constraints for restoration The ability to work scientifically
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SPEAR Centre: PhD in ‘Long-Range, High Bandwidth Distributed Acoustic Sensing for Fibre Optic Links’
Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description SPEAR Centre: PhD in ‘Long-Range, High Bandwidth Distributed Acoustic Sensing
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research school on secure distributed computing (SeDiC) is proposed. SeDiC aims to tackle the challenges of exchanging and computing data across a network of interconnected systems. It addresses scalability
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learning Distributed and federated training The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics or another
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Systems. The project is sponsored by UKRI with the aim to conduct modelling, analysis and optimisation of smart power distribution grids and integrated power and transportation networks. In collaboration
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need score. In the interests of equitable distribution of scholarships, other scholarships received by applicants will be taken into consideration. Conditions This scholarship is subject to the
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, in which you may work with one or several components, include user-friendly sensor systems for monitoring health data, reliable measurement of health data and data communication in distributed
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related field strong background in distributed systems, real-time computing, or networked control systems knowledge of UAV systems, swarm coordination, or digital twin frameworks experience with programming
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Interfaces" as part of the BlueMat Cluster of Excellence. The position is fixed-term for three years until January 31st, 2029. https://www.tuhh.de/bluemat/homepage The BlueMat project "Water at catalytic
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methods for distributed state estimation in large and heterogeneous sensor networks, with particular emphasis on statistical model‑based approaches. As sensor systems scale up to vehicle fleets, drone