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interesting. Because of their internal atomic structure, REIs can serve as excellent qubits, with long coherence time and emission in the visible and NIR spectrum. In the last few years, a lot of research has
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to the proportion and composition of mineral, melt and fluid phases across a range of geologically-relevant pressure, temperature and composition. With constraints on the partitioning of trace elements among
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with the following qualifications, knowledge, and skills: A master’s degree (or equivalent) in computer science, human-computer interaction, traffic engineering, or related fields. A solid background and
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advancements, population and economic trends, and their future developments come with deep uncertainties. Infrastructure policies must account for these uncertain drivers and their dynamic interaction with
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that can self-learn bulk visco-elastic properties? How to structure such materials to learn continually and counteract the aging of their own parts? Can we optimize self-learning materials to achieve
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postdoctoral researcher working in this project (see below), leveraging data from experiments in our project. Third, you will explore how local connection capacity markets and novel connection agreements can be
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these machine learning-based proxies together with a postdoctoral researcher working in this project (see below), leveraging data from experiments in our project. Third, you will explore how local connection
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we address the following steps/questions: Characterize the molecular structure and molecular distribution of suitable polymer pyrolysis waste streams to aid modelling of filler-matrix interfaces
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, and single-asperity scratching. Correlate composition, process, and performance to establish structure-property-function relationships. Collaborate with Canon Production Printing to translate insights
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laser physics and/or plasma and fluid mechanics is an asset, especially if combined with strong hands-on laboratory skills Programming experience, particularly in Python, is welcomed Strong verbal and