92 quantum-physics-"https:"-"https:"-"https:" Postdoctoral positions at Nature Careers
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, and frequency noise measurements. Applicants should have a PhD in physics, electrical engineering, or related fields. US Citizenship is preferred. Interested candidates are encouraged to send a CV to
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Postdoc positions for N2 and/or CO2 Conversion by Hydrogenation into useful Chemicals using Thermal Heterogeneous Catalysis - DTU Physics We have a successful record of activating molecular N2
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and processes. At BAM we do research that matters. Our work covers a broad array of topics in the focus areas of energy, infrastructure, environment, materials, and chemistry and process engineering. We
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, MICADO and METIS. Our group develops and maintains custom-written software that will simulate, process, validate, and store data from some of the most advanced astronomical instruments ever to be built
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University, where the lab is physically located. Your profile We are looking for a highly creative, collaborative and experimentally skilled candidate with (or close to finishing) a Ph.D. in molecular biology
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-EM sample preparation, data collection, and high-resolution structure determination • Process and refine complex cryo-EM datasets using strong computational skills (RELION, cryoSPARC, etc.) • Conduct
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THE UNIVERSITY OF LIVERPOOL Faculty of Science and Engineering School of Physical Sciences Department of Chemistry Postdoctoral Research Associate in Structure Determination for Materials Discovery
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Postdoctoral Research Associate - Hybrid Computational-Experimental Scientist in Bacterial Drug Resp
in mentoring and shaping the lab's interdisciplinary culture. We Are Looking For Someone Who • Has a PhD in computational biology, microbiology, systems biology, engineering, physics, CS, or a related
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international collaboration partners Support and administer internal web and Linux servers Your Profile Academic degree (master's and Ph.D.) with a background in computer science, bioinformatics, physics
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selection and switching in real time Integrate surrogate models with physics-based solvers, e.g. SOFA, FEniCSx, SOniCS, and clinical or phantom data Deploy models on ARSPECTRA hardware, including optimisation