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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 algorithms for the indirect estimation
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graph learning models, primarily geared towards assisting combinatorial solvers for practical graph algorithm benchmarks. Please find out more here: Dr. G. Rattan Your profile You have, or will shortly
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and business analysts to develop technical solutions. Develop/change data input, files/database structures, data transformation, algorithms, and data output by using appropriate computer language/tools
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. For additional information, please visit: https://dakic.univie.ac.at/ . Your future tasks: You will actively participate in research, teaching and administration. This means: • You are involved in a well-funded
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to recruit one research assistant. Job Description The candidate will participate in FORTH-IESL's R&D activities within the COLOURS project, working on developing algorithms and integrating software tools and
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enable the use of future radio links for imaging applications of the human body or tissue under the integrated communication and sensing (ISAC) framework. The position involves algorithm development and
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algorithms that explicitly account for noise and limited precision inherent to photonic systems, and stronger coupling to real-world application layers through system-level demonstrators. Therefore, within
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reference. The student will focus primarily on the photonic integration of machine learning methods, contributing equally to the development of ML algorithms in this context. Their work will include
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particular focus on applications relevant to the Arab world. The successful applicant will join a multidisciplinary research team working at the intersection of machine learning, algorithmic fairness, human
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Physics based machine learning algorithm to assess the onset of amplitude modulation in wind turbine noise (with TNEI Group) EPSRC Centre for Doctoral Training in Sustainable Sound Futures PhD