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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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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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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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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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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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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
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microscope. The Mission: The successful candidate will play a central role in advancing multimodal microscopy, including techniques such as multiphoton and optoacoustic microscopy, to investigate novel