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Max Planck Institute for Radio Astronomy, Bonn | Bonn, Nordrhein Westfalen | Germany | about 3 hours ago
is to understand the physical processes near supermassive black holes that drive the launching and propagation of relativistic jets in active galactic nuclei (AGN). The project aims to study the
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automation, high-throughput data acquisition, and real-time data processing, offering a unique opportunity to advance S/TEM capabilities, publish impactful research, and collaborate with a diverse group of
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magnetic resonance imaging using pulse sequence design, image reconstruction, and real-time image processing, for brain, body, and fetal applications. Responsibilities: The successful candidates will develop
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the imperial collection (quire structure, copyists, watermarks, ruling), potentially including opera scores from other Viennese sources from the period under investigation; Ordering of digital images
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Postdoctoral Research Associate in Sum-Frequency Generation Microscopy of Biomolecular Self-Assembly
the institute focusses on the structure and dynamics of elementary processes in solids and at surfaces. Within this broader research theme, the Nonlinear Chemical Imaging (NCI) group of Dr. Alexander Fellows
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have the opportunity to develop your projects based on your existing experience and your own career goals. The project entails: -in vivo imaging of enteric neuronal activity, and immune responses
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information using Microsoft Word and/or ChemDraw and managing the journal publication process Able to work independently and professionally with minimal supervision and direction Preferences Experience in
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research team including experts at NYUAD and Cleveland Clinic Abu Dhabi with a demonstrated track record in vision science, neuro-imaging, neuro-ophthalmology and deep learning. 2) Using Advanced Imaging
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strategies — developing systems that can respond dynamically to neural and behavioral signals in real time. Your Role: Develop and evaluate new methods for optimizing DBS therapy — from imaging and modeling
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disease with a focus on Alzheimer’s Disease. Computational models will be developed that utilize data obtained from a wide range of experiments, from basic biochemical methods to advanced imaging techniques