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behavior assays, CNS trauma surgery, viral vector production, imaging, genomics, and biochemical assays. Qualified candidates are encouraged to apply via this posting and include a current CV including names
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Are you interested in X-ray imaging and biomineralization and in contributing to an international interdisciplinary Human Frontier Science Program funded project on skeletal adaptations in
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assays High-resolution cell imaging and microscopy Data analysis and integrative computational approaches This combination of expertise will prepare you for an independent academic career or leadership
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equipment. Access to cell biology and live-cell imaging laboratory. A well-established international collaboration network in biomedical research. Support of team members with diverse backgrounds
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Department of Chemistry is offering a postdoctoral
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Postdoctoral Associate AI and MRI Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Electrical and Computer Engineering, Computational Science
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technology with a focus on thermal process chemistry, chemical engineering, or an equivalent area relevant to the project. Documented laboratory experience with high-temperature experiments and materials
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Programming, Data Analysis, Data Interpretations, Experimentation, Imaging Analysis, Laboratory Operations, Laboratory Techniques, Magnetic Resonance Imaging (MRI), MATLAB, MRI Analysis, Multiple Sclerosis
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transcriptomics and bioimaging to study human liver biopsies and advanced, preclinical models. A combination of wet-lab and computational biology, close ties to the clinic, and a wonderful team of early career
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 8 hours ago
field such as Earth Science, Data Science, Computer Science, Remote Sensing, Environmental Science, Statistics, or a related discipline. Technical Skills: Machine Learning & Deep Learning: Demonstrated