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Candidates with experience in flow cytometry, single-cell analysis, quantitative imaging, and routine use of R or Python for data analysis and visualization will be especially competitive. The ideal candidate
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, ELISpot, intracellular cytokine staining, immune cell culture, cytotoxicity assays, and other functional immune assays. Apply and interpret high-dimensional immune profiling approaches, including spectral
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to process large-scale medical images and analyze multi-modal data effectively. · Excellent interpersonal skills, including a positive and professional orientation towards faculty, staff, university
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post-doctoral fellows that work on advanced MRI techniques. The ideal candidate would have a Ph.D. degree in Electrical Engineering, biomedical engineering, Physics or related field with 1-3 years
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-erythrocytic and transmission stages of the parasite lifecycle. Current projects include CRISPR/Cas9-based parasite engineering, functional characterization of parasite genes involved in liver infection and
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Center (MPRC), University of Maryland School of Medicine (UMSOM). The project involves the use of fMRI and computational modeling methods to investigate decision-making and reinforcement learning in people
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) and genetics data which are measured by longitudinally and cross-sectionally. • Developing and applying machine learning and AI approaches to identify interactive topological relationships
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a Ph.D. degree in Electrical Engineering, biomedical engineering, Physics or related field with 1-3 years of experience in MR pulse sequence development, and / or experience with modern reconstruction
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building hosting many interdisciplinary research teams, including the Institute of Genome Sciences. The salary will be aligned with NIH and UMB pay scales. Application Process: To apply, please submit
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. Application Process: To apply, please submit the following: Your CV A brief personal statement outlining your research interests and career goals Three reference letters Please send your application materials