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the position is the development of scalable optimisation algorithms for large and computationally challenging problem instances. You will formulate mathematical programming models and design solution approaches
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and analysis of dedicated algorithms for training analog circuits directly from data. In this PhD project, you will develop a novel system-theoretic framework for learning in analog circuits and
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algorithms. One particular challenge for the candidate applying for this position, is to develop novel measures of structural (in)equivalence in social networks for obtaining an interpretable understanding
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researcher to work on systems theory for energy-based learning. What are you going to do? As a postdoctoral researcher, you will develop and analyse new algorithms for energy-based learning of complex systems
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geometrical changes [Nat Commun. 16, 11388]. In this project you will push the boundaries of algorithm based reconstruction of nanoscale strongly scattering geometries from their radiation pattern. We seek
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, algorithms, neural populations and circuits. Expertise in a particular sensory modality or research method is not required. Have relevant teaching experience and enthusiasm for further developing your teaching
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of probabilistic and extremal combinatorics, structural graph theory and algorithms. We study problems on discrete structures such as graphs, permutations, posets or set systems using probabilistic, structural and
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‘healthy biodiversity’ into quantifiable impact indicators; Develop a spatial optimization algorithm that finds land use configurations that optimize these indicators; Compute Pareto frontiers under
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. During the PhD, you will work on topics at the intersection of probabilistic and extremal combinatorics, structural graph theory and algorithms. We study problems on discrete structures such as graphs
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team can be found here: https://www.tudelft.nl/ewi/over-de-faculteit/afdelingen/software-technology/computer-science-engineering-teaching-team The Computer Science and Engineering (CSE) BSc program The