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well as performing biochemical experiments to investigate the activity and specificity of selected proteases. 3. Advanced fluorescence measurements and quantitative imaging Performing and optimizing fluorescence-based
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process Optimization, with emphasis on Chemical vapor Deposition (CVD). The successful applicant must have a strong background in the area of Computational Fluid Dynamics. Familiarity with response surface
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Intelligence (LLMs, RAG) and Cloud services. Functions to be developed: Assist in optimizing data ingestion, preparing datasets, and designing vector database structures/bases for semantic queries. Design
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limited and must be smartly optimized in combination with other constraints. In large HPPs with dams, the AS provision can induce mechanical stress on critical components, accelerating wear and fatigue. In
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characterized from a structural, rheological, thermal, and mechanical perspective, with the aim of identifying optimal processing conditions and the related structure-process-property relationships
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at the intersection of digital twins, multi-timescale system optimization, and integrated Power-to-X systems with special focus on the electrical engineering parts. This position offers a unique opportunity to drive
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backbone of tomorrow's Power-to-X plants. This 3-year PhD position offers a unique opportunity to build a research career at the intersection of digital twins, multi-timescale optimization, and integrated
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systems, from sustainable energy grids to autonomous mobility. In this ERC-funded PhD project, you develop cutting-edge game-theoretic control and optimization methods. Job description Modern society
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Infrastructure? No Offer Description Associated research staff for Design, optimization and execution of biological assays in microfluidic systems; Repair and characterization of microfluidic devices and