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York 14853, United States of America [map ] Subject Areas: Bioinformatics Genomics / Plant Computational Biology Genetics / Quantitative Appl Deadline: none Position Description: Apply Position
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proteomics, cell culture, molecular biology, and in vivo models. Analyze and interpret data, integrating experimental and computational findings. Utilize bioinformatics tools and techniques to analyze high
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, fermentation, and CRISPR. Strong background in fermentation, food engineering, and food processing. Experience in molecular biology, Gene editing, bioinformatics, cell culture. Experience with Cell counter
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For Someone Who • Has a PhD in computational biology, genomics, bioinformatics, microbiology, or a related field. • Is fluent in Python/R and Unix-based workflows. • Has experience with microbial genomics
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University is recruiting postdoctoral scholars with prior training in statistics, biostatistics, computer science, bioinformatics or a closely related area. Applications are invited from ambitious, independent
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statistics/biostatistics, computer science, bioinformatics, or other related disciplines is required. Strong interest, research background and experience in the methodology research in statistical genomics
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Biostatistics & Bioinformatics Duke University invites applications for a postdoctoral associate in scientific machine learning (SciML) as part of a new NIH-funded Center for Excellence in Multiscale Immune
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to conferences, interactions with clinicians, and close collaboration with partner research groups in protein chemistry, molecular biology, and bioinformatics. Required Qualifications: MD or PhD in a relevant
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and cellular biology, microbial pathogenesis, host–microbiota–pathogen interactions, microbial genetics, or related disciplines. Candidates with experience in bioinformatics and omics data analysis
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bioinformatics to integrate findings. Scientific Communication: Publish results in peer-reviewed journals and present at internal and external scientific meetings. Qualifications and Skills PhD in cellular biology