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Field
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preferred. Proficiency in computational tools such as MATLAB, Python, R, or machine learning applications in immunology is desired. Candidates should have a PhD in Chemistry, Chemical Engineering
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phenotyping, including image analysis evaluations, for trait quantification Handle NGS datasets for RNAseq or SNP detection and linkage analysis using R Your qualifications and skills: You have a PhD or
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or machine learning. Strong programming skills in Python/R. Solid foundational knowledge in human genetics and genomics. Experience working with next-generation sequencing data. Baylor College of Medicine is
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. Supporting the largest radioisotope production and research portfolio within the Department of Energy (DOE) Office of Science for Isotope R&D and Production, as well as extensive isotope production programs
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fractionation (i.e. surface biotinylating, gradient centrifugation, and be proficient in advanced data analysis (i.e. R, Python). Excellent analytical, organisational, and problem-solving skills are essential
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. Experience with large-scale omics data analysis and programming (R or Python). Proven track record of high-quality publications. Experience with molecular biology techniques (e.g., cell culture, CRISPR, NGS
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values. Application Materials Required: Further Info: https://medicine.duke.edu/divisions/gastroenterology/education-and-training/gi-r Division of Gastroenterology DUMC Box 3913 Durham NC 27710
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completed Ph.D. within the last 5 years in Computational Biology, Bioinformatics, Machine Learning, Artificial Intelligence, Virology, or a related field Strong programming skills in Python, R, or Julia, with
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The Postdoctoral Appointee will be part of a R&D group conducting use-inspired research supporting the development of next-generation energy technologies such as nuclear fuel recycling and
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, Matlab, R, etc.) is also advantageous. Department Contact for Questions Questions regarding the position or application process can be directed to: Prof. Van Stappen, Department of Chemistry, Indiana