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, develop theory and algorithms for their practical use, and study complexity and performance trade-offs in relevant applications. The project is led by Professor Erik Agrell (IEEE Fellow), whose
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genomic algorithms and analyses to characterize genomic rearrangements in cancers and normal tissues, and better understand how errors in double strand break (DSB) repair result in these rearrangements
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: Research (65%) · Investigate literatures to identify existing solutions and the problem · Develop and apply state-of-the-art natural language processing algorithms and models to multimodal
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of precipitation and temperature over Morocco. Key Responsibilities: Statistical model development: Led the development of advanced statistical models and machine learning algorithms for forecasting precipitation
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Department/Location: Department of Genetics Applications are invited for a Postdoctoral Research Associate position to work in the group of Dr Felipe Karam Teixeira (https://www.gen.cam.ac.uk
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/Qualifications Experience in: - Development of artificial intelligent algorithms. - Explanaible artificial intelligence - LLM experience - Virtual intelligence entities using reinforced learning
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experience across BSc and MSc levels. Please find more information about the Algorithms Section: https://algorithms.sdu.dk/ Department: https://imada.sdu.dk/ Odense Campus: https://www.sdu.dk/en/om-sdu/sdu
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problems in partial differential equations inspired by cutting-edge algorithms in statistics and machine learning Type of programme/project/ undertaking MAESTRO-16 Funding institution National Science Centre
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clothoid-specific algorithms that generate a speed profile that takes into account the characteristics and properties of the applications, applied to the movement of human arms/hands, human locomotion, and
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annotating experimental findings from the literature— with advanced machine learning approaches to extend functional annotation of LCRs. • Apply clustering algorithms to group LCRs by similar annotation