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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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the NEPHRON project, please refer to the webpage https://cordis.europa.eu/project/id/101171952 . What we offer At Maastricht University, you’ll work in an international, open, and engaged environment
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during training, the finding of interpretable substructures to the explainability of general learning behaviour of such machine learning models, etc. In this project, we want to build upon the recent
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your achievements to the market. What you will do You will join a fast paced, tightly aligned team building, testing, and iterating cutting edge technology in a startup style environment. You will be
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quantum- and nanotechnology, photonics, biotechnology, synthetic biology and materials for energy storage and conversion, our faculty aims to provide solutions to important problems of the 21st century
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&neck cancer. Together with our PhDs, technicians and supervisors, you will build several prototypes of both of these ultrasound devices, connect the electronics, perform the experiments, and further
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cost is essential for a sustainable energy and materials system. Cost reduction will come from cheaper electricity, innovation, market growth, scaling, standardisation, and supply chain development
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integrating open science in their research practice. The Faculty of CEG comprises 28 research groups in the following seven departments: Materials Mechanics Management & Design, Engineering Structures
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residues from the arsenic removal from drinking water and to establish procedures for the effective recovery and valorization of arsenic as critical raw material. In collaboration with project partners
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Can you help drive the energy transition by building a battery