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Università degli Studi di Roma Tor Vergata - Dipartimento di Ingegneria Civile e Ingegneria Informatica | Italy | 4 days ago
simulations and wind energy generation. The activity will be centered on further developments of the algorithms in PSCToolkit and their implementation on accelerator devices Where to apply Website https
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in both instrument and algorithm technologies. The researcher will contribute to the development of the project’s research lines within the macro-themes “Resilience to extremes” and “Sustainable water
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existing software with automatic recognition algorithms for key behaviors associated with animal welfare. Where to apply Website https://www.unifg.it/it Requirements Additional Information Eligibility
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research activity will focus on the development of algorithms for machine
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(CAITE) whose aim is twofold. First, it aims to bring AI at the edge, by providing scalability and resource efficiency through the development of cooperative, distributed AI algorithms, optimising data
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of trolleybus and tramway networks in Italian urban areas. Within this framework, the proposed research activity will focus on the development of innovative control strategies for DC-DC converters to be employed
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of science data from the IXPE mission (including algorithms, development of simulation and analysis tools, and interpretation of the results), particularly for the study of extended X-ray sources (supernova
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by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research project concerns the study and development of advanced management strategies
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The project consists in the development of algorithms for the indirect estimation
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project is guaranteed to be feasible and with high impact, guided by a supervisory team with an extensive A+ publication record in algorithms and graph mining. Where to apply Website https://pica.cineca.it