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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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cutting-edge analytical approaches (Multilevel Vector Autoregressive Models, Dynamic Structural Equation Modelling, Hidden Markov Models, Causal discovery algorithms, Reinforcement Learning), Contributing
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Polish or English, in particular in algorithmics, artificial intelligence, programming or numerical methods; Communicative command of Polish. Availability. Obtaining a grant, scientific or educational
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of three-dimensional inference algorithms from object views, based on Generative Networks for Robotics Applications. V - Initial grant duration: 5 months, as long as it doesn't go beyond the end date
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Intelligence and Algorithms – 30%; VII.II- I – In the evaluation of the interview, candidates' performance will be assessed according to the following weights and criteria: - Criterion 1: Knowledge and profile
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research on AI/ML methods for accelerating integrated circuit (IC) design. * Participate in the deployment and testing of AI/ML-driven IC design algorithms to both open-source and industry-standard CAD tools
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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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sustainability objectives, promoting the dispersion of tourist flows and personalized experiences. O3 — Design and validate a dynamic pricing mechanism to optimize tourism distribution Implement algorithms
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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
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on the NCN website: https://projekty.ncn.gov.pl/opisy/620203-en.pdf The project is interdisciplinary, combining field studies, environmental observations, laboratory analyses, and computational data-processing