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skills in data analysis, machine learning, as well as in mathematical and computational modelling? You will have the opportunity to investigate innovative solutions using machine learning algorithms and
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initiative. Your role will support the modelling, simulation and analysis of non-electrical infrastructures—namely gas networks, hydrogen pathways, and thermal systems—within integrated multi-vector scenarios
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compounds using Differential Scanning Calorimetry (DSC), Thermogravimetric Analysis (TGA), Rheology, Dynamic Mechanical Thermal Analysis (DMTA), Dilatometry, Atomic Force Microscopy (AFM), and Transmission
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operation and analysis. These projects aim to develop a set of cloud-to-edge based tools for enabling intelligent automation of active distribution grids. Do you want to know more about LIST? Check our
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Pneumatic Tires, Structure-Process-Properties Relationships. How will you contribute? Do you have proven skills in data analysis, machine learning, as well as in mathematical and computational modelling? You
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experiments with quantitative microscopical analysis and physics-based modelling to understand how conifers solve the challenge of solute transport against the flow of water through the needle, and what
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Composer Studio. · Solid understanding of programming languages, particularly C# and Python. · Proficient in control systems design and analysis using MATLAB. · Excellent communication
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on these instruments. The focus areas include nano-imaging, nano-analysis, and in-situ process control for nano-fabrication. AINA’s multi-disciplinary team of experts in charged particle optics, mechanical engineers
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senior researchers from LIST and Goodyear as part of a leading international team, with the opportunity to visit Goodyear USA. Activities: · Conduct extensive background literature analysis