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investigate how machine-learning based algorithms can be used to personalize the user experience. The goal of this personalized user experience is to enable each individual user to discover their own
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Recognition Machine Learning and Pattern Recognition are subareas of AI aimed at the development of algorithms and models capable of learning from data, recognizing patterns, and signal analysis. Tasks include
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of the North Sea. Existing automated detection algorithms will be used to identify seals and porpoises. The results will be used to create seasonal acoustic presence maps, investigate differences in community
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this position will be to provide in vitro biochemical, biophysical and structural data from novel mutants of the EGFR kinase domain to drive and validate algorithmic development. Organisation The vacancy is
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. You will apply convex, distributed, stochastic, and robust optimization methods to engineering problems in transportation, logistics, energy systems, and manufacturing. This hands-on focus will make
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-breeding residency site. Job Description This project aims to investigate the spatial-temporal dynamics of Black-tailed Godwit distribution, habitat use, and foraging ecology in Senegal, focusing
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activities. By mapping and analysing the spatial distribution of such initiatives, the project will reveal how urban demand for landscape services—food production, recreation, nature management—relates
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questions at the urban level. This includes analyzing the impact of climate change on urban energy demand, evaluating the distribution grid's capability to accommodate growing electricity demand, assessing
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Organisation Job description The University of Groningen ( https://www.rug.nl/ ) offers a 4-year M20 Program ( https://uef.nl/en/projects/m20-en ) funded PhD position for a project to develop a “sustainable seascape heritage science and policy program in the Afsluitdijk Area of the Netherlands”....
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, feedback optimization, distributed control, consensus protocols, nonlinear control, robust control, with application to energy systems (e.g. smart grids, district heating, hydrogen networks) and traffic