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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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conducts research on the application and the impact of digital technologies like DLT/Blockchain, Digital Identities and Machine Learning/AI on organisations from both the private and public sectors
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deep reinforcement learning (DRL) methodologies for both gene-level and edge-level perturbation control, represents a significant advancement in the computational toolkit for cellular reprogramming
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related field Demonstrated experience in interdisciplinary research and excellent digital literacy Strong interest in historical data, machine learning, data visualization, or digital hermeneutics Strong
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structure-adhesion relationships from characterization data Is Your profile described below? Are you our future colleague? Apply now! Education PhD in Material Science and Engineering or Material Chemistry
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29 Aug 2025 Job Information Organisation/Company University of Luxembourg Research Field Computer science » Computer systems Researcher Profile Recognised Researcher (R2) Country Luxembourg
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SD-25157 RESEARCHER IN ATMOSPHERIC PLASMA TREATMENT OF METALLIC SURFACES FOR INDUSTRIAL APPLICATIONS
now! Education The candidate should have a PhD degree in Chemistry, Chemical Engineering, Materials Sciences or related fields. Experience and skills Extensive experience in the Atmospheric Plasma
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activities in support of project management Guide PhD students Participate in a dedicated training plan For further information, please contact Prof. Marcus Völp at critix- Your profile Qualification: PhD in
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be found on hpc.uni.lu . The activities include classical HPC applications, such as simulation and modeling, as well as artificial intelligence and machine learning, which bridge computational science
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be found on hpc.uni.lu . The activities include classical HPC applications, such as simulation and modeling, as well as artificial intelligence and machine learning, which bridge computational science