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. The ideal candidate should have a strong background in one or more of the following: developmental biology, genetics, molecular techniques, bioinformatics/genomics, electrophysiology, calcium imaging
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. Experiences in working with laboratory mice and human cells. Experience in bioinformatics. Knowledge, Skills, and Abilities Excellent verbal and written skills. Presentation skills. Analytical skills. Attention
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. Experience with multicolor flow cytometry. Experience with immunofluorescence high resolution imaging. Experience with bioinformatics tools and analyses. FLSA Exempt Full Time/Part Time Full Time Number
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/bioinformatics, and data science. Work Performed · Work in highly collaborative inter-disciplinary environment with clinicians, econometricians, statisticians, and data scientists · Lead statistical analysis
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://shen.scripps.ufl.edu/ ), has multiple Postdoctoral Research Associate positions available immediately until filled. We are specifically looking for aspiring candidates with experience in (i) bioinformatics, genome
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the harnessing and optimizing of T cell function for cancer immunotherapy using genetically modified mouse models, flow cytometry, q-PCR, RNA-seq, western blot, single cell RNA seq, bioinformatics, and
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Designated Comprehensive Cancer Center, as well as Genomics, Bioinformatics, and Organoid Shared Resources. The University of Colorado offers a comprehensive benefits package. To see what benefits
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Science, Physics, Applied Mathematics, Statistics, Computational Biology, Bioinformatics, Systems Biology, or related fields. Proficiency in at least one programming language (e.g., Python, Julia, R, C/C
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Computer Science Department at Princeton University. We seek candidates with computational biology, bioinformatics, computer science, machine learning, statistics, data science, applied math and/or other
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Department of Biomedical Informatics is a highly dynamic and multidisciplinary environment that has strengths in bioinformatics, global health informatics, imaging informatics, machine learning, mHealth