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by desorption, as well as crystallization and precipitation of Magnesium Ammonium Phosphate (MAP). These processes are tested and optimized on a pilot-scale wastewater treatment plant using real
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for the captioned post. Duties and Responsibilities Conduct advanced research in structural health monitoring, including hardware development. Perform numerical studies and model testing. Analyze and interpret data
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learning and statistics. A good command of Python programming is essential, as is a good command of English, both spoken and written. Skills in optimal transport theory and knowledge of generative models
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, troubleshooting, and optimizing experiments, collaborating with other lab members to support complementary projects, participating actively in weekly lab meetings and research discussions (65%); • Write and publish
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modification and engineering of model and non-model microorganisms, designing, troubleshooting, and optimizing experiments, collaborating with other lab members to support complementary projects, participating
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project on the development of smart optical sensors for environmental monitoring in the oil & gas industry. Our photonics research lab has set modern tools for the design, testing, and optimization
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completed at the deadline for applications, including those resulting from academic degree recognition processes. Preferential Requirements: Proven experience in numerical simulation, namely CFD applied
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a grant from the Swiss National Science Foundation entitled Machine Learning for Optimized Ab-initio Quantum Transport Simulations (MALOQ). It officially started on January 1st 2026 and will
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experimental, pilot-scale, or high-fidelity simulation data into model calibration and validation workflows Design and run numerical simulations of multiphase flow systems and reactors Quantify model uncertainty
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therefore to build up a database of these kind of events (both numerically and experimentally). To experimentally investigate turbulent flows, the SPHYNX team at SPEC build over several decades and has