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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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and authorities interested in improving civic participation. The research in this postdoctoral position focuses on text and image feature learning for news ecosystems, analysing the complex
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, solvent-based recycling process for complex plastic waste streams such as multilayer packaging and e-waste, while Exergy will develop the digital-twin and machine-learning tools that make the process
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your academic career? Your interests lie in the field of machine learning techniques, particularly artificial neural networks, and deep learning? And you would like to continue your research
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societal partners working together. We are looking for a postdoc that will carry out the work of a sub-project focusing on the micro-level environment in which conflict encounters occur, identifying
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, e-learnings, and educational programs—from professional specialization to personal development. This allows you to keep growing and make the most of your talents. Additional comments Starting date
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requirements We will consider applications based on the following skillsets. If you do not fullfil all requirements, please still apply (there is room for learning-on-the-job). A PhD in aerospace/mechanical
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cover will affect microalgal growth and DMS-production in the future, and whether feedbacks might be expected in a changing climate. What are you going to do? As a postdoc in the MACS project you will
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Student Sports Center at an exceptionally affordable rate. Partially paid parental leave and an allowance for commuting, working from home and internet costs. A TU/e Postdoc Association that helps you to
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across a range of application areas, including education and healthcare. As these systems are increasingly deployed in high-stakes environments, there is a growing need for machine learning models