28 image-coding-"Foundation-for-Research-and-Technology-Hellas" Fellowship positions at University of Michigan
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, subcutaneous, intraperitoneal, and intra-cardiac injections of cells to generate tumor models, bioluminescence Imaging, and animal necropsy. Other wet-lab techniques or assays maybe involved depending on how
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/reloading models for studying musculoskeletal adaptation Experience in mouse dissections and surgery Prior work in animal/tissue imaging, including microcomputed tomography analysis, as well as histological
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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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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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targeting neuroreceptors and neuroimmune pathways. The successful candidate will employ a combination of in vitro tissue assays and in vivo imaging techniques to characterize the pharmacological properties
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-the-loop simulations, prototype development, and bench-level testing to validate design concepts and control implementations. Review and analyze relevant literature, industry standards, and emerging
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, including gene therapy and imaging technologies. Central to our studies is the lethal pediatric brain tumor, Diffuse Intrinsic Pontine Glioma (DIPG), particularly targeting cancer stem cells to address
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protocols. Perform photoacoustic imaging of the mouse brain. Maintain accurate and detailed records of experimental procedures and results. Collaborate with and assist other lab members on related projects
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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