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Lehigh University Plasma Control Group (LU-PCG) and contribute to advanced control synthesis, neural observer development, scenario optimization, and AI-enabled digital twins for magnetically confined
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, including automated peptide synthesizers and other relevant instrumentation. Establish and optimize workflows for peptide production, conjugation, quality control, and analytical characterization, ensuring
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postdoctoral position focused on the development of a novel vertex detector concept for FCC-ee. The successful candidate will contribute to detector prototype testing, detector simulation and optimization, and
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cohorts, integrating optimized sample preparation with ultra-sensitive narrow-window data-independent acquisition (nDIA)-MS on the Orbitrap Astral Zoom mass spectrometer. In parallel, you will lead the
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18 Sep 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Other Economics » Other Engineering » Control engineering Engineering » Systems
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and motion planning, whole-body control, multi-contact manipulation/locomotion, machine learning and optimization, avatar animation or related areas. You have experience working on real robots and great
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Are you fascinated by atomic-scale control of materials for future semiconductor and energy technologies? We are looking for three ambitious postdocs to work on advanced atomic layer processing
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and power (CHP), and application-specific energy storage systems. We are also exploring how quantum computing can unlock new optimization and control strategies in future power systems. Our projects
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materials. The focus is to develop novel electrochemical deposition methods, control interfacial reaction kinetics, and engineer functional coatings and thin films. Advanced process design and optimization
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 11 days ago
-adaptive systems. We focus particularly on two properties: self-healing and self-optimization. With self-healing, we aim to study and adapt data mining and machine learning solutions to the design and