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innovative students in broad Bachelor's and specialist Master's programmes with a strong research component. Our scientists conduct ground-breaking fundamental and applied research in the fields of Life and
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elements for in-materia computing, as part of a joint theoretical/experimental program carried out at AMOLF (Amsterdam) and TU/e (Eindhoven). Computing with artificial neurons takes inspiration from nature’s
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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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properties on the structures underlying quantum computations. A main component of the project will be using the ZX-calculus, a graphical language for reasoning more intuitively about quantum processes. As PhD
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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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, endosomal escape is a limiting factor for their therapeutic impact: the key step determining whether cargo, e.g., CRISPR/Cas9 gene editing machinery, reaches the cytosol or is degraded. Overcoming
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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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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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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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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