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packages relevant to biostatistics and bioinformatics (e.g. R, Python, Fortran, Matlab, SAS, Stata or equivalent) and experience in the use of high-performance computer resources and parallel computation
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We seek a talented and highly motivated computational postdoctoral fellow with a strong background in bioinformatics and passion in exploring the heterogeneity and evolution of tumor cells and the
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to learn. Interest in tumor metabolism and a strong desire to gain experience in bulk and spatial metabolomics. Solid bioinformatics skills, including familiarity with tools for analyzing omics datasets and
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Africa with the aim of understanding the biology of adaptation in fungal pathogens. The post will use a combination of classical, genomic, molecular and bioinformatic techniques to investigate mating and
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Bioinformatics, Computational Biology, or related areas; Hands-on experience with, or a strong interest in, bioinformatics programming, including Linux, scripting, and R; Expertise in data mining and cleaning
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of Organismic and Evolutionary Biology, which is a vibrant community of cross-disciplinary biological scientists at Harvard University. Basic Qualifications A Ph.D. degree in Bioinformatics, Computational Biology
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genomics, bioinformatics, computational biology, molecular ecology, molecular biology, or molecular genetics. Proven experience in designing and leading research projects, with a focus on the development
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, all while maintaining excellent communication and time management skills. You may also Be experienced in proteomic analysis and mass spectrometry techniques. Have proficiency in bioinformatics and
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phenotypes. The lab uses a variety of experimental (functional genomic, targeted genetic) and computational (bioinformatics) tools on human and mouse tissues and using in vitro methods on human cells
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contributing to impactful research in the field of aquaculture, bioinformatics and related life sciences Job Description: A/Prof.s Ajay Mathuru and Yih-Cherng Liou (NUS), along with Dr. Caroline Wee (IMCB, A