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methodologies Experience of advanced multi-parameter flow cytometry, cell imaging and data analysis Experience in statistical methodologies Excellent written and verbal communication skills Publications in peer
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of Glasgow/Ifakara Health Institute) to develop and test new methods for trial design and analysis. Developing statistical models and code to run the proposed methods. Developing and running simulation-based
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physiology Coding proficiency (e.g., Python, R) and familiarity with deep learning tools are strong assets A strong publication record, critical thinking, and collaborative mindset Application Instructions
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code are transparent, well-documented, reproducible, and openly shared with the scientific community. The role also offers opportunities to contribute to teaching and training activities across
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, prognosis, and predictive responses to chemotherapies and targeted drugs. 2. Study the genetic and epigenetic basis of GI cancers (e.g., aberrant DNA methylation, histone modifications, and non-coding RNAs
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-intensive field Proficiency in Python (or R), version control, and clean code practices Experience with omics data analysis and integration Hands-on expertise in developing and fitting executable models
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biology (cryo-EM, X-ray crystallography, NMR), chemistry, biophysics, cellular imaging, etc. and the lab also has expertise and equipment for mass spectrometry including Bruker timsTOF (HT/Ultra) and
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High Level (e.g. python) programming languages, Databases (SQL), development and maintaining code repositories (version control) Demonstrate Linux expertise including file systems, shell, hardware
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of immune cells as key regulators of the tumor microenvironment. Collaboration with pathologists for tissue imaging correlations and with computational biologists is expected. The work will largely involve
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coding in R, Matlab and/or Python, and already adapt to using the UNIX command line and executing analyses using high performance computing cluster. Preferred qualifications: Prior experience in analyzing