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these technologies can only read DNA fragments of limited length. We enable biological interpretation of these sequencing data sets by developing algorithms based on graph theory, discrete optimization and machine
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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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Wetsus - European centre of excellence for sustainable water technology | Netherlands | 2 months ago
carbon, nitrogen, and phosphorus; different lability of carbon molecules; diverse microbial communities; and pH adjustments. Determining the optimal chemical and physical properties of these amendments
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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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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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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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materials, including graphene related materials, optimized for application in sorption/separation of lanthanides and actinides. The project aims to prepare materials with high surface area using chemical
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environmental footprint.In this context, the optimization of material recovery from end-of-life vehicle scrap is challenged not only by the heterogeneous and evolving nature of this scrap, but also by the diverse
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the attractiveness to the users, we need innovative designs where fixed and flexible services support each other. This necessitates a multidisciplinary approach bringing together optimization, machine learning and