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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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professors, 2 postdoc researchers, and about 20 PhD students. The research for these PhD positions will be conducted in the System Software team, headed by prof. Bjorn De Sutter (https://users.elis.ugent.be
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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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, the successful candidate will conduct cutting-edge research in: Adaptive incentive mechanism design for complex sociotechnical systems Strategic learning and equilibrium-seeking algorithms in transportation
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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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high throughput PDU equipped with VOC sensors, an algorithm, and a database. The PDU will enable rapid (Ultimately, the PDU is intended to be a cost-effective, user-friendly, adaptable, and efficient
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ahead of SEO and AI trends, algorithm updates, and evolving best practices. On-Page & Technical SEO Perform regular website audits to identify and resolve technical SEO issues (e.g. site speed, mobile
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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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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
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of novel neuro-inspired algorithms and their hardware realizations that can make future intelligent systems far more efficient and powerful. Today’s intelligent systems rely on massive datasets and large