141 computer-science-image-processing-"https:" Postdoctoral positions in United States
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engineering (CRISPR/Cas9, Gal4/UAS), including the generation of genetic tools in non-model Drosophila species; single-cell genomics (scRNA-seq and single-cell ATAC-seq); in vivo functional imaging (two-photon
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in vivo neurophysiological recordings and behavioral assays in mice and tree shrews. • Data Analysis: Process large-scale neural datasets, applying computational tools to model behavioral and neural
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, information theory, computational biology and image processing. Applicants must have (or expect to have at the time of appointment) a PhD. The work location for this position is in-person on campus at Princeton
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line. Total Compensation Calculator: http://www.cu.edu/node/153125 Equal Employment Opportunity Statement: The University of Colorado (CU) is an Equal Opportunity Employer and complies with all
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of Chemistry and Biochemistry (https://science.du.edu/chemistry) offers undergraduate degrees in chemistry, biochemistry, and environmental chemistry and graduate degrees with specialization in biophysical
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imaging and diagnostic technologies. QUALIFICATIONS: Ph.D. in Applied Mathematics, Electrical & Computer Engineering, Computer Science, Industrial Engineering, or a closely related field (obtained by start
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goals. Our research focuses on neurovascular signaling, utilizing mouse genetics, molecular and protein-biochemical methods, cell biology, and various -omics methods. Currently, we are exploring
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, and proteomic data and manage them in the data repository and computer servers. Run existing PET/MR brain image processing pipelines on the computer servers, produce the results, and communicate with
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The University of Nevada, Reno (UNR) appreciates your interest in employment at our growing institution. We want your application process to go smoothly and quickly. Final applications must be
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
, or prime editing. • Computational Biology & AI/ML: Experience in AI/ML-enabled design of biomolecules (e.g., proteins, RNA) or bioinformatics. • Cell Analysis: Proficient in flow cytometry, FACS, NGS