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scholars, communication scholars, digital humanities and computer scientists. Experience with organising workshops, lecture series, and similar events. A PhD degree in Law, Political science, Information
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packaging and e-waste, while Exergy will develop the digital-twin and machine-learning tools that make the process adaptive and scalable. The research effort will be directed towards the selective recovery in
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fit to this project; An academic transcript of BSc, MSc and PhD education, including grades; Full Curriculum Vitae, contact information for at least two academic references, and if applicable, a list of
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(learning-based) evaluation research. In this position you will work closely together with a PhD student that also works on this research. In addition, you help further shape the research programme and
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contributing to research with direct societal impact. Job requirements You hold a PhD degree, or are close to completion, in Aerospace Engineering, Mechanical Engineering, Geoinformatics, Geomatics
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(e.g. Python, Julia), You have an interest in, or experience with, machine learning approaches for scientific data analysis. You have a strong interest in interdisciplinary research and enjoy
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-data interaction, and machine learning, making it a natural home for advancing data interaction in hybrid care. This specific position is in close collaboration with Catharina Hospital Eindhoven and
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completed) in Natural Language Processing or a closely related area. Solid knowledge of machine learning, especially deep learning. Experience in model development and/or fine-tuning. A practical mindset
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for workers in hazardous recycling manufacturing environments, embedding participatory co-design, digital twin modelling, and mixed-reality training to shift from machine-centric to human-inclusive workplaces