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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | 2 months ago
high-impact scientific journals Essential skills and qualifications MSc and/or PhD qualifications in Chemistry, Physics, Materials Science, Computational Science, Engineering or a closely related field
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: Masters and subsequent PhD in Physics, Chemistry, Material Science or related disciplines Experience in neutron spectroscopy, e.g. INS, QENS, NSE Good knowledge of the structural characterization of matter
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Bioinformatics, Computational Biology, Computer Science, Biomedical Engineering, Computer Engineering, Genetics/Genomics or related field experience with ‘omics platform output experience with biological datasets
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output of the neutral atmosphere dynamics and chemistry of UA-ICON. A requirement will be to install TIE- GCM at the supercomputer of the German Climate Computing Centre, where UA-ICON is running
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Your Job: We are looking for a highly motivated postdoc to join the neutron backscattering spectrometer team to support the instrument development program for the instrument SPHERES. To further
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PhD Student / Postdoctoral Researcher (gn*) Molecular Biology Reference Number: 10836 Fixed term of 3 years | Full- or Part-Time (65% or 100%) | Salary Grade TV-L E13 | Centre of Reproductive
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approaches to electrolyte systems Requirements: Candidates must have a Ph.D. in Physics, Chemistry, Applied Mathematics, or related fields. Desirable: - English language fluent, spoken and written - excellent
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Your Job: The electrocatalytic interface engineering department led by Prof. Dr.-Ing. Simon Thiele focuses on synthesis, manufacturing, analysis and simulation of functional materials to find
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very good Master’s degree in Computer Science, Medical Informatics, Business Informatics or a related field. Practical experience as a full-stack developer for cloud-native and/or on-premise applications
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Beginning Winter semester Application deadline All students – online application: 1 March for the following winter semester https://www.lmu.de/psy/de/studium/doctoral-training-program-in-the-learning-sciences