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consists of 18 research groups covering a wide range of mathematical disciplines – from pure and applied mathematics to numerical analysis and optimization, as well as mathematical statistics and machine
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emerging graphite value chain. The project aims to develop and optimize separation and purification strategies for graphite ores of varying quality and mineral associations. The research will focus
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of their biological counterparts. This project aims to overcome these limitations through a synergistic circuit–device co-design that jointly optimizes both circuit architectures and component properties, ensuring
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understanding of tree genetics in operational forestry and demonstrate new ways to optimize tree breeding and forest management. Qualifications: The successful candidate should have an MSc in the field
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the European Regional Development Fund. Subject description The subject includes signal processing with emphasis on development and optimization of algorithms for processing single and multi-dimensional signals
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. The outcome will advance understanding of tree genetics in operational forestry and demonstrate new ways to optimize tree breeding and forest management. Qualifications: The successful candidate should have an
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Fund. Subject description The subject includes signal processing with emphasis on development and optimization of algorithms for processing single and multi-dimensional signals that are closely related
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of the active material through an intrinsic buffer effect. The overall aim is to design new materials and optimize fundamental battery performance, as well as to achieve increased mechanistic understanding
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). This project aims to support clinical adoption of DBTMI by (1) Optimizing the DBTMI prototype; (2) Performing a clinical study of DBTMI vs DM with 600 women; and (iii) Optimizing DBTMI reading and exploring AI
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-target interactions, and optimize them towards validation as preclinical platforms alternative to animal model for drugs screening and development. The project is part of a collaborative effort and will