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-dimensional variable selection, longitudinal and survival analysis, machine/deep learning, bioinformatics methods in -omics data are preferred. Demonstrated evidence of excellent programmin g, collaboration
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Collaborative Institutional Training Initiative (CITI Program) for conducting research will be provided at Duke Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard
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, methods will include video- and machine-learning supported behavioral studies in mice, mouse genetics, fluorescent imaging, electrophysiology, pharmacological studies of irritant and thermosensory receptors
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will perform the following tasks: • Design, implement, and maintain scalable computational pipelines for multi-omics data, including bulk/single-cell RNA-seq, spatial transcriptomics, metagenomics
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bioinformatics area) position is open at Duke University School of Medicine in the lab of Dr. Yi Zhang starting Jan 2024 or later. The ideal candidate will develop novel statistical and machine learning methods
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program. A doctoral degree or equivalent (Ph.D., ScD., DrPH, M.D., D.V.M., DDS etc) in Epidemiology, Biostatistics/Statistics, Bioinformatics, Genomics, or other relevant disciplines. Knowledge in the areas
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be considered, strong preference will be given to those with experience in analytical chemistry, mass spectrometry, quantitative proteomics and/or computational biology. This position offers a vibrant
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are seeking a motivated and independent candidate with primary interest in post-stroke recovery (motor, vision or pain recovery). The position is at least for 2 years. Responsibility: · Lead project to collect
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Investigator and Program team to stay on budget and schedule to meet the milestones and deliverables. Follow standards of responsible conduct in research. Comply with good scholarly and research practices
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projects and coordinate with the Principal Investigator and Program team to stay on budget and schedule to meet the milestones and deliverables. Follow standards of responsible conduct in research. Comply