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- <span lang="en">International Max Planck Research School for Chemistry and Physics of Quantum Materials</span>
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the context of a multidisciplinary project to classify materials in waste streams, including using X-rays. The goal is to optimally use the spectral capacities of a new generation of X-ray detectors
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-edge computational fabrication framework that harnesses the living properties of fungal mycelia to transform organic waste into sustainable, carbon-neutral materials—advancing the emerging field of
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Experimental Quantum Science and Quantum Sensing. Our research focuses on developing scalable, multiplexed quantum-sensing platforms based on solid-state spin qubits, particularly nitrogen-vacancy (NV
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functionalized solid fuels, ultimately generating validation-grade datasets to drive mechanism-discriminating scaling laws. The successful candidate will be expected to: Develop, setup and apply advanced, non
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1, Ph.D. in Mechanical Engineering, Biomedical Engineering, Electrical Engineering, Physics, or a closely related discipline. 2, Strong background in acoustics, acoustic metamaterials, solid mechanics
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hybrid materials. Candidates should have a PhD in condensed matter experimental physics, mesoscopic electron transport, or experimental solid-state quantum information science. The project combines
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or more of the following areas: hyperpolarization methods, including DNP, PHIP, or SEOP; catalyst characterization; or solid-state NMR spectroscopy. Demonstrated ability to work effectively both
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/ Scientist (f/m/d) Injection and Extraction Systems for BESSY III Berlin University Professorship in Solid-State Quantum Phenomena Region Hannover, Niedersachsen (DE) University Professorship (W3) “Experimental Physics II” Experimental solid state physics and ... Karlsruhe
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Post-Doctoral Associate to conduct research in solid-state nuclear magnetic resonance spectroscopy, materials synthesis, computational chemistry, and advanced structural characterization of
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this. Applicant Profile Required profile: · With a PhD in physics or mechanical engineering, the successful candidate will have acquired solid skills in the mathematical and numerical methods