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Field
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stimulating research environment within the DZNE, the SyNergy Cluster, with access to advanced imaging platforms, single-cell and spatial multiomics pipelines, high-performance computing, and close interaction
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the research areas of Infection Medicine and Microbiology, Immunology, Oncology, Neurosciences, Pharmacology/Cardiology/Vascular Medicine, Imaging Technology and Biomedical Engineering, amongst others. A large
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Skills/Qualifications Must have, at the start of their PhD programme, a Master (or equivalent) degree in Mechanical Engineering, Physics or Photonics with solid knowledge of optics and its applications
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-phase species (e.g., laser-based imaging diagnostics, setup of model reactors, modeling of underlying reactions, multiscale simulation of reactive fluids, computational fluid dynamics) What we offer
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sensing of atoms in the MLT. The lidar will be used for the first dedicated search for atomic species that are so far undetected in the interface of atmosphere and space. Modern image analysis tools shall
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the umbrella of the Dresden International PhD Programme (DIPP) Teaching language English Languages All courses are held in English. The primary language in the labs is English. The PhD thesis is written and
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Engineering, Physiology and Therapy of Hearing “Auditory Sciences” is a structured PhD programme that is integrated in the “Joint Research Academy in Biomedical Engineering and Science of Hearing and Sensory
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Leibniz-Institute for Plant Genetics and Crop Plant Research | Neu Seeland, Brandenburg | Germany | about 13 hours ago
Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Is the Job related to staff position within a Research Infrastructure? No Offer Description Join the “Advanced
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. Given this, the CUI: Advanced Imaging of Matter Graduate School features an interdisciplinary research and training programme for doctoral students and post-doctoral researchers. It is addressed to young
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, Mechanical Engineering, Applied Mathematics, Computer Science, or a related field. Strong background in systems theory and/or control engineering. Keen interest in cyber-phyiscal systems, networked control