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· database extraction · data cleaning · analysis · algorithm development and implementation · data visualization [CI1] The postdoctoral
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at the time of application. Experience in molecular and cell biology techniques, preferably in single cell sorting (FACS), scRNA-seq, spatial transcriptomics and very strong multi-omic data analysis skills
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well as the analysis of retinal ganglion cell survival by immunohistochemistry. Record required of first author paper published or accepted for publication demonstrating relevant skills and expertise. Required
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analysis and dissemination. We are looking for candidates pursuing a clinical science-oriented career who excel at both the provision of cognitive behavioral psychotherapy and at research. The fellow will be
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neuroimaging data analysis. Extensive experience with functional magnetic resonance imaging, including resting fMRI and task fMRI. Proficiency in handling NIfTI-format neuroimaging data and performing volume
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proteomics, circulating microRNA, etc.). Please note that this position has no wet-lab component. Applicants holding a PhD, MD, or MD/PhD are welcome to apply. Non-US citizens and non-US residents are also
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, trustworthiness, and other dimensions of responsible AI performance. Experimental research. Design and execute large-scale field and survey experiments. Analysis and publication. Analyze complex data and lead
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(GitHub) and AI coding assistants (e.g., Claude Code) Strong mathematical foundation relevant to quantitative image analysis (optimization, regression, statistics, signal processing, cluster analysis
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Expertise in primary cell isolation and culture, FACS, confocal imaging, and mouse genetics is preferred Experience with transcriptomics and programming language suitable for computational analysis (e.g. R