10 parallel-processing-bioinformatics-"Multiple" Postdoctoral positions at Nature Careers in Luxembourg
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actively contribute to the WeForming and EnerTEF projects. WeForming and EnerTEF propose developing automatized and intelligent solution for operating active distributed grids with multiple active asset6s
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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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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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(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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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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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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Technology (SIPT) Unit. At the SIPT Unit, we are committed to advancing the frontiers of science and technology through the development of innovative instruments and methodologies across multiple domains
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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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-driven insights, and process models). Main Responsibilities: Design and implement a model-based management infrastructure to support integration and harmonization of data and models in a heterogeneous
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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