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particular focus will be on exploiting the extensive experimental data generated within the HKN project, including measurements from wind-tunnel experiments and full-scale offshore wind turbines. These data
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classification of aluminium scraps and contaminants. Design and validate algorithms for multi-sensor data interpretation and sensor fusion. Conduct laboratory experiments on scrap characterisation and sorting
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related field. Solid teaching experience and a clearly articulated educational vision that fits Maastricht's CCCS/PBL approach. An existing network in, or genuine motivation to build one within, the Venlo
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and transpiration models and combined with other monitoring systems. Initial experiments will be conducted in university growth chambers and greenhouse facilities, followed by validation in commercial
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supervising Bachelor's and Master's students where appropriate. Where to apply Website https://www.academictransfer.com/en/jobs/363887/phd-position-in-systems-and-con… Requirements Specific Requirements We
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expected to develop research questions, design experimental approaches, and execute synthesis and characterization of organic and inorganic compounds within the context of the project. You will report on
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field, with strong skills in data engineering and quantitative modelling. Experience with autonomous shipping, port logistics or decision-support systems is an additional advantage. You will formulate and
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ingredients, a process that is traditionally slow because each substrate–strain combination behaves differently. By applying machine learning to historical experimental data, we can predict high‑potential
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The ESA National Graduate Trainee (NGT) Programmes offer recent Master’s graduates the opportunity to gain practical, hands-on experience at ESA across a range of space-related disciplines
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, Chemical Engineering, Materials Science, or a closely related field. You have a strong experimental background and enjoy designing, building, and improving laboratory experiments. Experience in one or more