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                . Your work will focus on identifying the mathematical knowledge and properties to guide hardware optimizations tailored to different environments. The optimizations range from algebraic optimizations (e.g 
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                theory, discrete optimization and machine learning. In this PhD position you will focus on strain-aware genome assembly, variant calling and strain abundance quantification for viruses, bacteria and yeasts 
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                , electrophysiology, biochemistry, molecular biology, and behavior analysis and conducts studies at different scales. Rett syndrome (RTT) is a rare X-linked neurodevelopmental disorder (1/10,000 female births), caused 
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                optics. The PhD student will participate in an international team, consisting of 15 PhD students at 5 universities and one company. The project has partners from five different EU countries. All, 15 PhD 
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                multidisciplinary team of researchers working on different topics with particular focus on surface properties and functional materials. Plasma technology plays a major role in our vision on how to push science 
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                and at the clearance level - To define sizing criteria - To optimize the piston ring geometry (axial/radial dimensions; sealing clearance, surface finish, materials, etc.) for different application 
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                -world energy applications, the project aims to better capture the dynamics of urban infrastructures across different spatial and temporal scales, from building-level energy demand to district-scale 
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                state estimator subject to different state estimation tasks in eVTOLs? 2- How can AI, MPC, and optimization be utilized to develop a resilient EMS that meets the development challenges of eVTOLs? Key 
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                ) for sustainable protein production and functional ingredient development. Design and implement experiments to optimize fermentation processes for the generation of protein-rich chickpea ingredients. Screen 
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                -world energy applications, the project aims to better capture the dynamics of urban infrastructures across different spatial and temporal scales, from building-level energy demand to district-scale