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on nanostructured materials can be established, paving the way for the rational design of novel catalytic materials. Project: Probing the structure of advanced materials for electrocatalysis using synchrotron
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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
to collaborative software development and version control systems (Git) # Experience with electronic structure and molecular dynamics simulation codes (VASP, QuantumEspresso, CP2K, LAMMPS) # Motivation to work
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detail: Planning, supervision and implementation of innovative experiments with solid oxide cells, in both electrolysis and fuel cell mode Characterization of the repeating units during stack operation
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Max Planck Institute of Biophysics, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 3 months ago
from more than 40 countries. It is located at the Campus Riedberg in Frankfurt am Main. About the department The research group of “Structure and Dynamics of Chromosomes” led by Eugene Kim at the Max
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The landscape of mRNA 5′ cap modifications is more diverse and dynamic than previously appreciated. This project aims to develop and apply a novel chemo-enzymatic method to label and extend the 5′ cap, enabling
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station(s) Research seed fund (10.000.- €) Access to the infrastructures of the institute Integration in an open minded and very dynamic research environment Service as host institution Remuneration is
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research group Metabolomics-guided Natural Product Discovery and be part of a young and dynamic team. The Leibniz-HKI is embedded in the outstanding scientific environment of the Beutenberg Campus providing
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the change! We support you in your work with: Secure employment in a dynamic, international and multidisciplinary environment of scientists from different domains and software developers A creative environment
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the understanding of femtosecond structural dynamics in quantum materials and 2D van der Waals systems. This position is available immediately. Requirements Successfully completed PhD degree in physics or a related
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you have strong interest in plant genomics and machine learning. if you have a strong scientific curiosity and motivation. if you are able to work autonomously and in a team. We offer you: a dynamic