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international collaborations Your profile at our group: analysis of high-throughput proteomic, (single cell) transcriptomic, digital spatial and other omics data in health and disease states multi omics data
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solid background in neurobiology; have previous experience with optical imaging of neuronal activity or mouse stereotactic surgery or in vivo electrophysiology or advanced data analysis; are fluent in
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, Computer control of measuring equipment and data acquisition, Ultrafast dynamics, X-ray spectroscopy, Ultra-high vacuum technology. Applications should be sent by e-mail, together with significant documents
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on Clostridium carboxidivorans and Clostridium ljungdahlii, for which we have already established robust genetic and process engineering platforms. The following publications illustrate the potential and direction
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Computational Biomolecular Dynamics Prof. Dr. Bert de Groot Am Faßberg 11 37077 Göttingen www.mpinat.mpg.de/degroot Information pursuant to Article 13 DSGVO on the collection and processing of personal data
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Manufacturing high-efficiency perovskite-based triple cells Characterising devices, analysing experimental losses, and simulating single and tandem solar cells Processing individual steps in device fabrication
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. We advance the understanding of dynamic processes to address global challenges, from mitigating the impacts of natural hazards and sustaining our habitat amid global change to responsibly managing
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spin dynamics and magnetism, experiments at large-scale facilities (synchrotrons and FELs), time-resolved X-ray spectroscopy, ultra-high vacuum technology, thin film growth, construction and operation of
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ljungdahlii, for which we have already established robust genetic and process engineering platforms. The following publications illustrate the potential and direction of our work: Lauer et al. (2022): Metabolic
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any specific questions about the position, please contact PD Dr. Matthias Schleuning at matthias.schleuning(at)senckenberg.de For data protection information on the processing of personal data as part