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2026 - 22:09 (Europe/Brussels) Country Belgium Type of Contract Temporary Job Status Full-time Hours Per Week 38 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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and thermal models developed with an industry partner, the research will simulate coupled heat and fluid transport in sedimentary reservoirs and assess system performance under varying operational
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development, yield and reproducibility improvement, and detailed analysis of optical and electrical device performance. Once optimized, the laser sources will be integrated with a high-speed photodiode
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international conferences. h.Training: Develop mastery of stability theory, machine learning, reduced-order modelling and high-performance computing. The candidate must hold a Master's degree in Fluid Mechanics
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semiconductors such as GaN and SiC and to enable reliable operation at voltages >6 kV, where suitable alternative is currently unavailable. Such devices are expected to find applications in high-efficiency power
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elsewhere as part of the same ANR project will be performed. Refractory high-entropy alloys (RHEAs) with a body-centered cubic (bcc) structure are single-phase solid solutions composed of elements such as Ti
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position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and reinforcement
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into include: Upscaling of multiphysics transport phenomena Film formation and efflorescence Multiphase Computational Fluid Dynamics High-performance computing Where to apply Website https
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thin films for emerging technologies. By combining state of the art physical vapor deposition, high throughput experimentation and data science, we develop thin films with enhanced performance and
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under relevant process conditions. Rational mutagenesis and computational protein design will then be applied to enhance lithium specificity and operational robustness in complex, high-impurity leachates