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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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of neuronal, astroglial and microglial markers in zebrafish and mouse brain samples In vivo imaging of specific brain cells in the transgenic zebrafish and mouse lines Develop phenotypic rescue assays, based
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of two referees, with an indication of their links to the candidate (e.g., supervisor of the PhD thesis) Early application is highly encouraged, as the applications will be processed upon reception
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. This advancement will enable high-fidelity modeling of complex plasma processes, contributing significantly to fields such as fusion reactor design, material deposition technologies, and space propulsion systems
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Applications should include: Curriculum Vitae List of publications and manuscripts in preparation (if applicable) Copy of PhD degree certificate, if available Cover letter including: Self-assessment
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. This advancement will enable high-fidelity modeling of complex plasma processes, contributing significantly to fields such as fusion reactor design, material deposition technologies, and space propulsion systems
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” approach. By harmonising and analysing diverse biomedical data, while focusing on the secure data processing and predictive modelling, we aim to drive progress in translational medicine, improving
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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