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Field
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wide range of resources and is mostly not publicly available. While sharing proprietary data to train machine learning models is not an option, training models on multiple distributed data sources
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Discrete Element Method (DEM) models to simulate the charging and formation of multi-component, poly-disperse burden mixtures in the blast furnace. The goal is to optimize burden structure and permeability
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since early days of the industrial revolution. Particularly novel separation methods for products from electrochemical synthesis routes need to be developed & demonstrated at pilot scale for industrial
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and a vibrant and challenging environment at Science Park we offer you multiple fringe benefits: 232 holiday hours per year (based on fulltime) and extra holidays between Christmas and 1 January
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applicants. The Collective Labour Agreement of Dutch Universities is applicable. Besides the salary and a vibrant and challenging environment at Science Park we offer you multiple fringe benefits: 232 holiday
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are required. This necessitates re-invention of processes that are in use since early days of the industrial revolution. Particularly novel separation methods for products from electrochemical synthesis
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, sustainable, and regulation-ready. The project develops methods and decision-support tools that integrate resilience and compliance directly into supply chain planning. As a postdoctoral researcher, your work
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structured approach for building supply chains that are resilient, sustainable, and regulation-ready. The project develops methods and decision-support tools that integrate resilience and compliance directly
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: Data management and programming (e.g., Python) Life Cycle Assessment (LCA) Multiple Criteria Decision Analysis (MCDA) Multiple Objective Optimization (MOO) In case you do not have all the desired
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process engineering, environmental sciences, or another related field You have expertise in one or more of these areas: Data management and programming (e.g., Python) Life Cycle Assessment (LCA) Multiple