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of optimized plasma reactor model, as well as implementation of quench and its performance characterization to implement post catalysis processing. What you do In this project, the responsibilities of the PhD
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develop and optimize these methods, with as special aim to enrich for antigen-specific antibodies. A secondary key objective is to improve bioinformatic and AI tools to analyse the mass spectrometry data
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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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on construction and performance indicators. This will require an insight into how to fully automate the discrete topology design synthesis process across system levels and how to learn component descriptions and
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three main phases. In the initial phase, you will develop and optimize physical and numerical models describing the electron optics of the complete probe-forming column, including the multi-beam
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industrial contexts; investigate optimal levels within the product structure for deploying AM in repair and spare parts support; integrate forward and reverse flows in manufacturing and maintenance
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by animal models that optimize for single causes or treatments, without reflecting the diversity and complexity seen in patients. This Marie Skłodowska-Curie Actions (MSCA) doctoral network PhD project
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | 2 months ago
of flocculants Sludge dewatering is a major challenge in wastewater treatment. Optimizing this process can lead to significant reductions in expenses, chemical use, and greenhouse gas emissions—all key goals
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a manufacturing technology for producing small to medium-sized thermoplastic composite components in high volumes. Process simulation software is being developed for virtual optimization of tool
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computer systems. The modeling, analysis and optimization of the extra-functional aspects of these systems, such as performance, power/energy consumption, thermals, reliability, security or verifiability but