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understanding of lithium mineral systems is clearly needed to support exploration efforts for this energy critical metal. The PhD student will explore the geochemical behaviour of lithium in the Earth's crust as
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machine learning solutions to optimize the component lifecycle directly contributing to a more circular economy. Information In the manufacturing landscape, determining whether a component should be
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adaptation and learning from their experiences. Using a combination of theory, numerical experiments and precision desktop experiments, we will create 3D materials with self-adapting elastic elements
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expected to uncover the vital mechanism of selective IDP-mediated transport and thus answer one of the central questions in molecular cell biology. We collaborate with experts in cell biology and MD
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or mechanical engineering Having a good understanding of energy markets, market products and services. Experience in optimization problems, dynamic behavior modelling, and component simulation. Experience in data
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central element of the values and vision of Leiden University. Leiden University is committed to becoming an inclusive community which enables all students and staff to feel valued and respected and to
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performative columns, and cladding systems, while also drawing from historical and vernacular knowledge? Then join us in advancing digital fabrication for a post-carbon built environment! Information This fully
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. Training A personalised training programme will be set up reflecting your training needs and career objectives. About 20% of your time will be dedicated to this training component, which includes following
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Can scrap steels become the future of high-performance 3D printing? Join us in reshaping metal manufacturing by turning industrial waste into precision-engineered components through 3D-printing! Job
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(IPCC) defines risk as the potential adverse consequences arising from climate-related hazards and the vulnerability of affected systems. The vulnerability framework comprises three crucial elements