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Field
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! Possible projects involve massive stellar binaries, gravitational-wave data analysis, astrostatistics, dynamics in galactic centres and globular clusters, probes of general relativity in the strong-field
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conduct fieldwork across European mountain ranges and model the distribution of microbial taxa. The newly generated data will be complemented with distribution records from our in-house global fungal
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Infrastructures Didactics of Informatics Digital Humanities Distributed Systems High-Performance Storage Machine Learning Medical Informatics Neural Data Science Practical Informatics Scientific Information
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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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with renewable energy generation, the utilization of EVs as distributed energy storage through Vehicle-to-Everything (V2X) technologies, and coordinated control mechanisms—such as aggregators—to mitigate
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dynamic, interdisciplinary team that combines science, sustainability, and technology to create a better future. Help shape the next generation of sustainable materials inspired by nature's most powerful
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and a construction and testing capability up to 5MW Vision This project aims to leverage the electric propulsion hardware developed in the EU-funded €40M NEWBORN – “NExt generation high poWer fuel cells
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environments, as well as reliable distributed signal processing and AI. Departmental duties may be offered. Entry requirements To be admitted to third-cycle studies, the applicant must meet both the general and
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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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for distributing bigraphical world models using Conflict-free Replicated Data Types (Bigraph-CRDT) and to extend these methods for the general distribution of DT data, ensuring high availability and resilience