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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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develops solutions for a range of vision tasks via machine learning and deep learning algorithms. The SSUDIO project aims to identify various objects of interest from shipboard 3D scans by training computer
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algorithms that are robust to prediction errors, while still performing well when the prediction is accurate. Where to apply E-mail job-ref-o6ncfux8o1@emploi.beetween.com Requirements Research
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inverter topologies (e.g. Dual inverter, 4 bridge inverter) with modern semiconductor devices (GaN, SiC) The aim is to implement own designed algorithms in a signal processor and simulation environment
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in three dimensions with an increased speed and resolution. One important challenge remains in iterative reconstruction algorithms, which require a lot of processing. This is currently developed
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programme Reference Number AE2025-0605 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0605
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Università degli Studi di Roma Tor Vergata - Dipartimento di Ingegneria Civile e Ingegneria Informatica | Italy | 16 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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to apply Website https://t.ly/I3glk Requirements Research FieldBiological sciencesEducation LevelUndergraduate Research FieldComputer scienceEducation LevelUndergraduate Research FieldEngineeringEducation
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OPEN APULIA Patti Territoriali per il sistema universitario pugliese 2022 | Italy | about 1 month ago
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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on the complementary expertise and recognized excellence of its 22 research teams to contribute to the development of the fundamental aspects of computer science (models, languages, methods, algorithms) and to foster