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Field
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and commercial tools (e.g. XCMS, MZmine, Compound Discoverer, GNPS, SIRIUS, etc). Proficiency in one or more programming languages (e.g. R, Python). Experience with continuous integration and best
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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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conferences. It is essential that you hold a PhD/DPhil in computational biology, genomics, bioinformatics, computer science, statistics, or a related field together with strong programming skills in Python, R
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in Environmental Modelling, Land Use modelling or another relevant field, with clear skills highly complementary to those of the JPP4JL research team Proven ability to write code in R or python
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competitiveness in GM. AMMIC brings together world leading research facilities and expertise to stimulate new investment in research and development (R&D) to address regional and national materials and
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standard imaging analysis method including use of Python (NumPy/SciPy/PyTorch/Tensorflow), Matlab, C++, version control software (e.g. git), and statistical analysis using R, SQL, etc. Familiarity with
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including in programming languages such as R and Python. Excellent publication record in peer-reviewed journals or conferences Experience of working in multidisciplinary projects including interaction with
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competitiveness in GM. AMMIC brings together world leading research facilities and expertise to stimulate new investment in research and development (R&D) to address regional and national materials and
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and commercial tools (e.g. XCMS, MZmine, Compound Discoverer, GNPS, SIRIUS, etc). Proficiency in one or more programming languages (e.g. R, Python). Experience with continuous integration and best
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of preparing academic papers. 10. Confidence in using statistical software (e.g. R, JASP, MAtlab) for advanced data analyses. 11. Experience in programming. 12. Experience in using MRI or brain imaging methods.