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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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studies. Leading data analysis, contributing to research dissemination, and mentoring lab members along the way. With a combination of wet lab techniques and cutting-edge bioinformatics tools, you’ll
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● PhD in computational biology, bioinformatics, statistical genetics, genomics, or a related field ● Publication record demonstrating experience in high-quality computational research ● Proven ability
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peer-reviewed journals and presentation of findings at conferences. Support the operation and maintenance of analytical instrumentation. About You You will: Hold a PhD in data science (bioinformatics
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models of human disease and clinical samples to assess diagnostic and prognostic value. Engage in collaborative research with faculty and trainees across biology, chemistry, and bioinformatics
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computational approaches and implementation of bioinformatics methods is desired. Developing independence will be fostered, and opportunities for intellectual input will also be readily available. The Ligon lab
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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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classical, genomic, molecular and bioinformatic techniques to investigate the sexual biology of Aspergillus fumigatus, a principal cause of aspergillosis disease in humans. Specific aims are to understand
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(biotechnical sciences), Active knowledge of the English language, both spoken and written. Advantage will be given to candidates with experience in bioinformatics, particularly in the field of genomics 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