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recognized science. Expert training in plant molecular and cell biology techniques including advanced live imaging. Professional development within Intercollegiate Biotechnology Doctoral School of UG & MUG
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using multimodal approaches including advanced imaging, nano-mechanical characterisation and machine learning techniques Developing physics-informed reliability models using experimental datasets
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analyze imaging (DHM) and sequencing datasets (RNA-seq, Ribo-seq where relevant; nanopore long-read). • Perform computational analysis: differential expression, splicing, RNA processing and modification
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during pathological conditions. 2. Neonatal seizures and epilepsy 3. GABAA receptor physiology. We approach these research areas with electrophysiological and imaging. The Postdoctoral researcher will be
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-based imaging technique Dark-Field X-ray Microscopy. Installed at the European Synchrotron Radiation Facility in France we utilize it to visualize the evolution of internal structures in metals during
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control algorithms for whole system efficiency optimisation. Design and simulate power management circuits using tools like SPICE or MATLAB/Simulink. Prototype and test circuits with real energy harvesters
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Agents in Diagnostic Imaging - Eng-PhD-17-25 Engineering Biology-Enabled Sustainable Supply Chains - Eng-PhD-01-25 Real-time Powder Bed Defect Detection and Prediction using Texture-based Imaging and AI
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. The PhD candidates will focus on developing methods that utilize remote sensing and AI supporting precision forestry. Remotely sensed data, such as images, lidar, and photogrammetric point clouds acquired
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social benefits. By joining the HZI, you will have access to top-tier research infrastructure, advanced technologies (including a BSL-3 facility, advanced imaging, and various cutting-edge omics
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cancer prevention and improved survivorship. The project advances a paradigm shift: transport is no longer a source of negative impacts – such as safety issues and adverse health effects, but rather a