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networks at different spatial scales. One of the fundamental aims is to model the activity and computations these circuits might support and relate these to measurements of human brain activity. Another
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such, we are looking for a PhD candidate to take up the challenge of extending the capabilities of the spatial spectral methodology to more advanced wafer metrology applications. As a PhD candidate, you
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for an ambitious PhD student on perceptual foundation models. Your research is part of the Video & Image Sense Lab. Join our team! Recent breakthroughs in Artificial Intelligence resulted in the emergence
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with colleagues with diverse backgrounds? The Informatics Institute is looking for an ambitious PhD student on perceptual foundation models. Your research is part of the Video & Image Sense Lab. Join our
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Sensing, Applied Mathematics, Statistics or a closely related field; a strong methodological background covering spatial sampling, design-based estimation, model-based prediction (geostatistics, machine
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PhD: Quantifying lithium partitioning in rock-forming minerals Faculty: Faculty of Geosciences Department: Department of Earth Sciences Hours per week: 36 to 40 Application deadline: 20 October
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closely related field; a strong methodological background covering spatial sampling, design-based estimation, model-based prediction (geostatistics, machine learning) and uncertainty assessment; proficiency
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forming. With the increasing demand for more complex components, a step change in model accuracy and associated material characterization methods is required. For this purpose, we are looking for two PhD
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characterization methods is required. For this purpose, we are looking for two PhD candidates to tackle the rheological characterization and constitutive modelling of molten unidirectionally reinforced thermoplastic
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softness with mechanical performance. Compliant mechanisms, particularly spatial compliant shell mechanisms, offer a promising solution. These structures can achieve large, controlled deformations while