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developing and applying statistical or machine learning models to real-world data Strong coding skills (e.g. in R, Python, or C++) and familiarity with collaborative software development Can work independently
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, Spatial Transcriptomics or proteomics/mass spectrometry would be advantageous as would experience using R and/or python code for bioinformatics data analysis of multiplex datasets. Knowledge of MATLAB, Perl
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in relevant and refereed journals. • Knowledge of some combination of computer languages including but not limited to Python, R, PyOMO, Julia. • The opportunity to continue your career at a world
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any queries about the role please contact: Prof. Mark R. Crimmin, m.crimmin@imperial.ac.uk Attached documents are available under links. Clicking a document link will initialize its download.
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measurements possible until the next generation experiments are ready at the end of this decade. In parallel you will carry out R&D for the readout electronics and other aspects of DUNE’s phase II near detector
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new code using programming languages such as R or python. A PhD in computational biology or PhD in molecular biology, oncology or genetics with a demonstratable emphasis on computational analysis is
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personal and professional wellbeing . About ARC With a 40-year track record of creating high quality managed environments for business, R&D and hi-tech manufacturing occupiers, ARC specialises in creating
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skills in Python; or experience in at least one of the following: C, C++, Java, R, Matlab, and willingness to learn Python. Experience in working with epidemiological or healthcare (or similar) data
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reputation. Experience working with sequence data, programming in python or similar language (e.g. R), and a strong interest in infectious disease epidemiology are essential for the post. For appointment