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Field
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elucidation of membrane protein complexes and integrates fundamental cell biology and structural biology by cryo- electron microscopy. The lab has a strong track record in investigating scramblases and their
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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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via operando liquid-phase transmission electron microscopy (LP-TEM). Your tasks: Self-motivated and independent planning, execution, and analysis of research in the scope of operando electrocatalysis
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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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within a Research Infrastructure? No Offer Description PhD Position — The European Epitranscriptomics of Cancer Academy (EURECA) Network https://eureca-dn.com/ EURECA is a Marie Skłodowska-Curie Actions
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experiments in the field of diffusion, observing the movement of single atoms while applying electrical bias for metallic materials used for future particle accelerators, electron microscopy, medical devices
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(electron microscopy e.g. EPMA, SEM, and X-ray methods e.g. µCT, XRD) Preparing and evaluating solution analyses using ICP MS/OES Publishing and presenting research results at national and international
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single filaments and single droplets to composite networks using techniques such as optical tweezers, fluorescence microscopy and atomic force microscopy. The concrete activities during the project will
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early developmental success. You will establish an integrated workflow that combines cryo-electron tomography (cryo-ET), sub-tomogram averaging and expansion microscopy to map/model key sperm structures
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utilise (where necessary), radioactive materials handling facilities, advanced materials characterisation techniques such as scanning electron microscopy (SEM), Transmission electron microscopy (TEM) and X