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support machine learning applications for analyzing electron microscopy images of nanoalloys. Model interactions between nanoalloys and carbon substrates to reflect experimental conditions, incorporating
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post-doc position will study particle and plankton distributions in and around OWFs in the Dutch North Sea. DEM@VISE (Digitizing Ecological Monitoring @ Vertical profiling, Imaging and Smart maintenance
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this condition. You will evaluate their interactions by building in silico models to establish the relationship between mechanical loading, cell imaging, in vivo micro-CT, and spatial transcriptomics, identifying
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bioinformatics, deep learning and/or biomedical image and clinical data analysis (e.g. Linux, R programming) is essential. The appointees will need to perform data analysis of single cell RNA-sequencing
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developing novel neuromodulation applications and approaches. We utilize intracranial recording and stimulation and neuro imaging approaches in human neurosurgery patients. Ongoing projects include
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The Center for Intelligent Optics (CIO) develops advanced optical technologies, including imaging, spectroscopy, and laser ablation methods. Our goal is to bridge these cutting-edge laser
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advanced spatial biology techniques, such as spatial transcriptomics, proteomics, and multiplexed imaging, to analyze brain tissue. Lead data analysis and interpretation, integrating multi-omic and imaging
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areas:Miniaturized optically pumped atomic magnetometers (OPMs) for ultra-low-field nuclear magnetic resonance (ZULF NMR) and magnetic resonance imaging (MRI); NMR MRI with a focus on MRI of microfluidic
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techniques to solve pressing challenges in energy storage. The successful candidate will work in the Data Science and Learning division of the Computing, Environment, and Life Sciences directorate of Argonne
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culturing and exposure experiments in the aquarium facility Responsibly monitor the relevant physiological, water and other relevant parameters Investigating the foraminifers with imaging methods (microscopy