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Energy Systems, Mechanical Engineering, Process Engineering, Applied Physics, or a related field, with hands-on experience in modelling and analysis of thermal energy systems or energy transition scenarios
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surface properties on their energy balance and gas exchange. Experiments will be accompanied by mathematical modelling of the physical processes involved. How will you contribute? In accordance with any
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(FPPM) RDI unit. The FPPM unit addresses the synthesis, formulation and processing of polymers and (nano)particles to achieve specific properties enhancements and multi-functionality through both
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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. As part of it, we are currently looking for a postdoc on machine learning for road characterization. How will you contribute? Do you have proven
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the consistency and evolution of heterogeneous DT models, accounting for variations in purpose, precision, granularity, completeness, and nature (e.g., ML/AI-based models, business rules, human knowledge vs. data
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experimental data gathered and processed by a doctoral candidate in the project, you will extend the existing open-source Model of Explicit Cross-section Hydraulic Anatomy (MECHA) to simulate water and solute
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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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in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ Context You will join the Scientific Instrumentation and Process
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Pneumatic Tires, Structure-Process-Properties Relationships. As part of our Data Science strategic research program, we are looking for a Post Doctoral researcher with expertise in Knowledge Graph Engineering