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to optimise large-scale renovation flows (Verbouwstromen). By bringing together contractors, clusters of buildings, and smart logistical planning, PRE-MADONA accelerates renovations using repeated, standardised
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models and generate alphas · Execution. Propose improvements or optimize existing strategies Evaluation. Backtest ideas using historical market data and large research clusters Education. Participate in a
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-driven methods to optimise large-scale renovation flows (Verbouwstromen). By bringing together contractors’ resources, clusters of buildings, and smart operations planning, PRE-MADONA accelerates
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alphas · Execution. Propose improvements or optimize existing strategies Evaluation. Backtest ideas using historical market data and large research clusters Education. Participate in a comprehensive
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Description Who We Are: The Cutsail research group at Ludwig-Maximilians-Universität (LMU) Munich is seeking a highly motivated PhD student / research assistant for full-time, on-site work in the
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Edinburgh, Scotland | United Kingdom | 28 days ago
This is a fully-funded 4 year PhD offering an annual tax-free stipend of £20,780, tuition fees and an enhanced research and training grant. This PhD is one of a number of projects hosted by
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many real-world applications, finding a solution requires high-performance computer clusters that consume large amounts of energy and run for a long time. Our project aims to create a radically new
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incorporates data-driven methods to optimise large-scale renovation flows (Verbouwstromen). By bringing together contractors’ resources, clusters of buildings, and smart operations planning, PRE-MADONA
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opinion dynamics, starting January 2026 or by agreement. Research project This PhD project will be carried out as part of the WASP-HS Research Cluster AI, Power and Politics (https://www.umu.se/en/research
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | 28 days ago
with our industrial partner, British Sugar, who will form the basis of a case study within a PhD research area of high energy, dispersed (ie, not part of any industrial cluster) using industrial sites