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Field
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: “Optimizing microwave plasma-based reduction of metal oxides” under the supervision of Prof. von Keudell, Chair for Experimental Physics – Reactive Plasmas at the Faculty of Physics and Astronomy, Ruhr
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a viable experimental technique. In particular, you will: Develop methods and data analysis workflows to enable GHz speckle experiments. Explore the application of X-ray Speckle Visibility
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at European XFEL enable scientists from across the globe to carry out a wide range of experimental techniques. For our HED group, we are looking for a PhD Student (f/m/d) for High photon energy HED experiments
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have experimental experience in soft matter, fluid physics, biological physics or a related discipline. You enjoy working in interdisciplinary and international teams and have basic programming skills
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for on-board, runtime engine fault detection, with experimental validation on the ASCENT bi-liquid propulsion system. Our partner Orbital Paradigm contributes online trajectory reconfiguration upon fault
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Science or equivalent degree) in biological sciences or bioinformatics Experience with population genomic and population genetic research Deep understanding of Evolutionary Biology Experience or interest in
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engineering, Mechanical engineering, Robotics, Computer Science, Applied Physics (or similar related programme in combination with relevant experience). Fluency in spoken and written English. Experience in one
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field (e.g., biology, chemistry, physics) or a comparable qualification (e.g., pharmacy, food technology) Experience in a laboratory setting, ideally in bioanalytics, imaging, or immunology Practical
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. or Diploma in bioinformatics or a comparable qualification Extensive programming experience Practical experience in machine learning and the application of large language models Knowledge of OMICS and image
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Leibniz Institut für Naturstoffforschung und Infektionsbiologie | Jena, Th ringen | Germany | 4 days ago
, or a related discipline Knowledge and experience in the analysis of metagenomics, untargeted metabolomics or other biological high-throughput datasets Knowledge of statistical methods in the context