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Museum fuer Naturkunde, Leibniz Institute for Evolution and Biodiversity Science | Berlin, Berlin | Germany | about 18 hours ago
and molecular machinery, first discovered by meticulous electron microscopy in the past decades. More recently, this has been complemented by genetic studies of their development and differentiation in
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6 Apr 2026 Job Information Organisation/Company Forschungszentrum Jülich Department Ernst Ruska-Centre for Microscopy and Spectroscopy with Electrons (ER-C) Research Field Biological sciences
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diffraction, spectroscopy, or electron microscopy is advantageous. Project 3: excellent master’s degree in materials science, physics, or chemistry. Experience with atomistic simulations in a high-performance
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plate array microscope for simultaneous time-lapse video microscopy, enabling high-throughput single-cell analyses of rapidly migrating cells. You will be responsible for Developing new machine learning
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or aqueous batteries · solid knowledge of electrochemistry or relevant project experiences · experiences with operating scanning electron microscopy/focused ion beam · a high level of
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microscopy for probing matter at the atomic scale. Our primary objective is to develop a novel electron phase reconstruction technique based on momentum-resolved scanning transmission electron microscopy
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recrystallisation experiments using advanced analytical methods such as Raman spectroscopy, X-ray diffraction (XRD), scanning electron microscopy (SEM), transmission electron microscopy (TEM) and synchrotron-based
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plate array microscope for simultaneous time-lapse video microscopy, enabling high-throughput single-cell analyses of rapidly migrating cells. You will be responsible for Develop new machine learning
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are looking for candidates with expertise in FACS-/microscopy-based assays, recent genome editing (incl. endogenous tagging) techniques, viral transduction expertise and/or mass spectrometry-based approaches
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research. You will strengthen the data science and machine learning activities of IAS-9 by developing core AI methods with applications to electron microscopy and materials discovery. You will work in a team