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, including slide-free imaging and multimodal techniques, for high-resolution analysis of human tissues. KEY RESPONSIBILITIES: Design and conduct experiments using advanced optical microscopy and tissue imaging
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on cutting-edge research at the intersection of statistical modeling, artificial intelligence, and infectious disease epidemiology. This position focuses on developing and applying statistical, mathematical
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, or multi-modal learning that integrates structured EHR and biomarker data. The fellow will have access to curated oncology datasets, high-performance computing infrastructure, and mentorship from a cross
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work (rodent models), perform and analyze behavioral assessments including measures of pain-associated behaviors, assist with experimental design, data collection and analysis, and contribute
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contribute to the excellence of our academic community. Development and application of advanced magnetic resonance imaging acquisition and analysis techniques. Develop and apply image acquisition and analyses
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experience in designing and conducting human subject research. Proficiency in statistical analysis and familiarity with software such as SAS, SPSS, R, or similar. Excellent scientific writing and oral
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research projects. Primary responsibilities will include research such as experimental design and data analysis, assistance in funding applications, and publication in peer-reviewed journals. JOB DESCRIPTION
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QUALIFICATIONS: - PhD in Ecology and Evolution, Virology, Bioinformatics, Computer Science or a related discipline - Demonstrated interest in computational analysis of biological data - Advanced coding skills
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. Mentor graduate and undergraduate researchers in experimental design, data analysis, and scientific writing. Publish results in high‑impact journals and present findings at national/international meetings
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Experience with CRISPR screening and/or gene editing Experience with cancer data analysis and/or analyzing (epi)genomic sequencing data **Please kindly attach a cover letter with your CV. NOTE: Position tasks