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control Correlation between process conditions, material properties, and ATOX resistance Contribution to the preparation of scientific reports, presentations and publications. Collaboration with academic
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, and functional properties of synthesized thin films, including atomic oxygen (ATOX) resistance Investigation of plasma–surface interactions relevant to composition and structural control Correlation
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systems Reinforcement Learning and Agentic Control: Hands-on experience with reinforcement learning, multi-agent systems, or planning-based agents for autonomous vehicles or robots operating in dynamic
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and www.spacer.lu The candidate should develop the following tasks: Conduct cutting-edge research in learning-based and/or model-based control and/or perception strategies for dexterous robotic
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synthesis, microfabrication or microelectronics, the candidate will be involved in the experimental/operational fabrication of the materials needed for the realization of microbatteries, the control
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the experimental/operational fabrication of the materials needed for the realization of microbatteries, the control of their internal interfaces, their integration for the realization of the microdevices, as
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Biology, Data Science, or a related field. Technical Proficiency: Strong command of R. Knowledge of Python is an asset. Multi-Omics Expertise: Proven experience in the analysis and integration of diverse
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targets. Key Responsibilities: Perform deep immunophenotyping of CD8 T cell subsets in cohorts of RBD participants and healthy controls Screen for autoantibodies using genome-scale protein microarrays and
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procedures Innovative teaching experience and interest to develop these further Fluency in English is required; good command of French, Luxembourgish and / or German is considered an asset We offer
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control) using real operator-grade datasets (traffic indicators, network KPI's, configuration logs and energy measurements when available). • Investigating and combining multiple energy-saving levers (e.g