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to interact with data engineers and IT specialists for model integration. Experience in communicating results through project reports, technical notes or publications is considered a plus. Language skills
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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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balance, and your own experimental data. You will follow state-of-the-art open science principles throughout your research and publish your model code, results and scientific papers with an open access
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energy-related data and model harmonization aspects, through a postdoctoral position. You will join a collaborative and multidisciplinary team and will act as a reference expect on data and model
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with data science, and data management (including IoT, Edge, and HPC). This is a fully funded position for 24 months within the HEXAPIC project, conducted in collaboration with Prof. Leon Kos' team
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for action for the legislator in Laos, and not least for the Luxembourg actors involved in humanitarian cooperation. For more information concerning this position, please contact Prof. Stefan Braum email
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with data science, and data management (including IoT, Edge, and HPC). This is a fully funded position for 12 months within the HEXAPIC project, conducted in collaboration with Prof. Leon Kos' team
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Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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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