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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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of the clinical context where academic research is performed and data are collected. Proficiency in data science, large multidimensional and combined analysis of different data sets, e.g. with machine learning
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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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-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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(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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with programming and scientific software development; experience with C++ is an advantage. Experience with machine learning, 3D city modelling or urban reconstruction techniques is beneficial. You are
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dynamics. You have experience with programming and scientific software development; experience with C++ is an advantage. Experience with machine learning, 3D city modelling or urban reconstruction techniques
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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