19 image-coding-"Foundation-for-Research-and-Technology-Hellas" Fellowship positions at University of Michigan
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metabolism, clinical sample analysis and clinical pharmacokinetics, and mass spectrometry imaging of small molecules, endogenous metabolites, lipids, proteins on tissue sections. What You'll Do LC MS
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diffraction (EBSD), energy dispersive microscopy (EDS), image quantification, correlative microscopy, and electron probe microanalysis (EPMA). Prior experience is desirable but not required given a strong
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. Responsibilities will include image data processing and analysis of PET data, and may include fMRI or DWI (MRI) data processing and analysis in tandem with PET data. Opportunities exist for integration of imaging
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responses using imaging and electrophysiology. Multi-channel stimulation optimization will be achieved using a closed-loop, semi-automated experimental paradigm. The findings from these experiments will feed
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new skills in biochemistry and molecular and cellular biology, including fluorescence microscopy, live-cell imaging, ratiometric calcium imaging, transcriptomics, proteomics, mammalian cell culture
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a brain imaging laboratory that studies the neural bases of stuttering and other related speech-language and developmental disorders. Why Join Michigan Medicine? Michigan Medicine is one
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plasticity. We study questions at a variety of levels, Ranging from synaptic and cellular studies using patch-clamp electrophysiology, large-scale population recordings using 2-photon Ca2+ imaging in awake
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imaging tools. Our goal is to understand how specific RNA molecules are spatially and temporally organized within cells to regulate eukaryotic gene expression and cellular function. This research is based
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communication skills. Experience in coding with Python, MATLAB, Julia, C/C++, or a similar program language. Experience with biological data analysis. Knowledge of network science and/or complexity sciences
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. Experience in coding with Python, MATLAB, Julia, C/C++, or a similar program language. Experience with biological data analysis or simulations of dynamics. Knowledge of network science and/or complexity