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Field
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spectrum of topics in CNU sections 27 "Computer Science" and 61 "Computer Engineering, Automation and Signal Processing". The laboratory is located at the heart of the Sophia Antipolis technology park, in a
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-center clinical datasets and contribute to translating advanced computational methods into clinically relevant applications. This PhD position offers a unique opportunity to work at the intersection
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automatic detection, segmentation and classification of sub-canopy archaeological features such as earthworks, burial mounds, walls, etc. – Investigation of interpretable/explainable AI methods, supporting
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. For this, we apply a combination of methods from both Physics and Mathematics, complemented by concepts from Theoretical Computer Science. Our research group is located jointly at the Faculty of Physics – as
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education, research, or knowledge-intensive industry. The position reports to the Unit Leader of Colorlab. About the project The research will address the growing need for reliable methods that can assess the
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scanning and measurement, garment fit evaluation, cloth simulation, digital twins, wearable sensing, smart textiles, and AI methods for clothing and body data analysis, to name a few. Applicants from
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estimated from observed data. The overall aim of the project is to develop statistical theory, methodology, and computational methods for such complex data problems, with a particular focus on models
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. For this, we apply a combination of methods from both Physics and Mathematics, complemented by concepts from Theoretical Computer Science. Our research group is located jointly at the Faculty of Physics – as
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interest are not directly observable. These may include, for example, ability, attitudes, well-being, or different dimensions of poverty, which instead must be estimated from observed data. The overall aim
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the application of microfluidics in the aforementioned demanding fields. This project aims to find methods to eliminate these urgent packaging issues. As the demand for advanced ventilators and multi-infusion