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Field
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until filled. Required qualifications: The candidate must have a PhD in Quantum, Condensed Matter or Solid-State Physics (or related topics). References: [1] Universal control of a six-qubit quantum
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advanced process control strategies and deploy them on the center's distributed control systems and edge computing devices. Work closely with industry partners to validate and optimize the developed
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to staff position within a Research Infrastructure? No Offer Description Postdoctoral Research Associate - Advanced Laser Cladding Metal Matrix Composite Coatings - Modelling and Optimization Full time
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individuals with disabilities to perform essential functions. Overview The individual will conduct experimental research, maintain and optimize specialized instrumentation, and contribute to data analysis
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power modules for advanced HPC platforms. This position will focus on innovative power architectures, advanced circuit topologies, magnetic component optimization, and integrated packaging solutions
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 25 days ago
and instrumentation components into a novel biomedical imaging platform Implement and optimize system architectures, including optical setups, control systems, and measurement pipelines Characterize
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performance testing (e.g., polarization curves, EIS). Design and execute experiments for materials optimization and degradation analysis. Maintain and operate laboratory equipment, including potentiostats
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an optoelectronic process for 980 nm high-power diamond laser diodes. In this context, the role of the LSPM is to provide polycrystalline diamond layers 2 to 4 inches in diameter with optimized mechanical
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reactors and the study of sonochemical reaction engineering. We excel at controlled experiments aimed at determining the driving forces for optimally efficient sonochemistry across different reactor scales
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on empirical results and professional feedback. Developing, documenting and maintaining reproducible research code, including version control, automation of training and evaluation workflows and the use of AI