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modeling, 4D imaging radars, distributed sensing, and tracking. SPARC has also collaborated with long-term industry partners such as IEE S.A (www.iee.lu ), University of Naples Federico II, US Air Force
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natural and artificial intelligences process information. The project is led by Heiko Schütt and will employ one PostDoc and one PhD student. About the role... You will develop new Bayesian methods
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research project focused on leveraging deep learning and advanced image processing techniques to improve the current tools for biomonitoring of aquatic ecosystems. This position involves the development and
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candidate technologies and use this as a basis for your experimental system. You will use advanced imaging (e.g. XCT) and/or high speed imaging to analyse the efficiency of the system and to optimise
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that include the feasibility, practicality and success evaluation of prototype implementations. You will be working close together with Mike Papadakis (Associate Professor in Software Engineering). The position
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will extensively explore and develop software security and software engineering techniques that include the feasibility, practicality and success evaluation of prototype implementations. The team you
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to explore in this project include vibrational segregation. You will evaluate critically potential candidate technologies and use this as a basis for your experimental system. You will use advanced imaging
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. These investigations include the feasibility, practicality and success evaluation of prototype implementations. More generally, the PhD thesis is part of a large initiative at Serval and SnT, which aims to support the
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control and video transmission for remote vehicle operation. The project will develop a prototype, rigorously tested in both lab environments and real-world conditions, to validate its reliability and
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The University supports researchers to acquire funding from national, European and private sources But wait, there's more! Complete picture of the perks we offer Discover our Partnership Programme How to apply