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ingredients for Earth-like magnetic fields on millennial time scales in dynamo models. The research activities are two-fold. First, the candidate will run numerical dynamo simulations with various combinations
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in regular arrays to probe novel quantum phenomena in strongly interacting quantum systems. The use of molecules is motivated by their rich internal structure, combined with the existence
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possible co-appointment in the Department of Computer Science. The project combines theoretical and experimental approaches to develop renewable DNA computing devices that perform multiple computations in a
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, enabling reduced coke rates and improved operational efficiency. In your role you will: Combine and extend existing burden charging models developed in previous projects. Apply DEM simulations to study
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and its plasticity. The project will be carried out by applying “all optical physiology” methods, i.e. a combination of calcium imaging with optogenetics, in freely behaving animals in Paolo Medini’s
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to kinetic energy domination. A key focus of the project is on the details of proton acceleration and neutrino production mechanisms. By combining several observational tools of modern multi-messenger
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combining highly porous ceramic electrode materials and specific inorganic electrolytes, ITEN, a French DeepTech company, designs highly efficient and safe microbatteries. The Laboratoire de Chimie and the
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planets, and trans-Neptunian objects in retrograde motion. Traditional orbital dynamics methods will be combined with machine learning techniques, such as convolutional neural networks and Vision
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generations of batteries. Studying phenomena of a very different nature (chemical, structural, morphological) operating on different time and space scales requires combining techniques in a multimodal and
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, neural and behavioral data (Allen et al., 2018; Miller et al., 2019; Pedersini et al., 2023). We combine ophthalmological, neuroimaging and behavioral data, and incorporate deep learning methods