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focus and interest. Fellows will work directly on research projects of CGNE-affiliated faculty, pursue independent research activities in line with their developing program of research, and engage in
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and build computational interventional models for individuals. Required qualifications: MD or PhD (completed by start of employment) in computer science or behavioral science. A technical background is
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., miniscope neural recording, connectivity tracing) to examine circuit specific function in the brain. We are particularly looking for PhD level scientist with expertise in vascular biology. Expertise in
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, 2021, 12 (1): 1956. Doi: 10.1038/s41467-021-22095-2); Li et al., 2020. NAR, 48(6): 3119-3133. Candidates should have obtained a PhD or an MD/PhD degree in the fields of molecular biology, biochemistry
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Institute (MRI) and the Institute of Computational and Data Sciences (ICDS). Ideal candidates will have experience in astroparticle physics and BSM phenomenology. Special consideration will be given
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), and 3) developing digital 3D atlases and various neuroinformatics tools. We utilize high-resolution 3D imaging tools (e.g., light sheet fluorescent microscopy) and computational approaches to examine