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                Field
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                models (e.g., iPSC, organoids, microfluidics) Bioinformatics, ‘omics, big data, molecular genomics/CRISPR/epigenomics Behavioral science, biobehavioral, psychosocial, translational, implementation science 
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                , molecular biology, and in vivo models. Analyze and interpret data, integrating experimental and computational findings. Utilize bioinformatics tools and techniques to analyze high-throughput sequencing data 
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                The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago: Experience with next-generation sequencing and bioinformatics tools. Familiarity with CRISPR/Cas9 genome editing. Prior publications in peer-reviewed journals. Create a Job Match for Similar Jobs About The 
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                background in evolutionary biology and bioinformatics and interested in leading cross-disciplinary research are encouraged to apply. Successful candidates must hold a Ph.D. Degree In Biology. Significant 
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                computational biology and bioinformatics, with experience in: Applying deep-learning or AI-based methods for image denoising. analysis of whole-genome sequencing (WGS) or other large-scale sequencing data 
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                : Postdoctoral Position Location: Ithaca, New York 14853, United States of America [map ] Subject Areas: Ecology Fisheries Natural Resources Marine Biology / Underwater Acoustics Bioinformatics Appl Deadline 
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                implementing genome-wide association studies of plant-microbiome variation, collecting empirical data, conducting bioinformatic and statistical analyses, manuscript preparation, and mentoring of undergraduate 
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                bioinformatics. Additional Qualifications Special Instructions To apply, please send the following to kgozzi@fas.harvard.edu: A cover letter describing past, current, and future research interests A curriculum 
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                bioinformatics, biochemistry, cell culture, next generation sequencing, and animal models. Investment in career development, fostering critical research skills, scientific writing, and editing. A two-year 
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                communities in health and disease. The successful candidate will work at the interface of bioinformatics, microbiome ecology, and metabolomics, contributing to both computational analyses and laboratory