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and under load. Multi-scale modelling based on continuum mechanics and hydrodynamics informed by experiments and molecular modelling. High-throughput data analysis and image processing using Python
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specialist knowledge in mechatronics design and control, and proven programming experience in Python, MATLAB or C/C++. Informal enquiries may be addressed to Professor Liang He (email: liang.he@eng.ox.ac.uk
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sciences, or related disciplines Strong programming skills (preferably Python and C/C++) Expertise in bioinformatics of networks Proven ability to publish in leading international journals Excellent
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experience developing reproducible machine learning pipelines applied to complex biological datasets also experience of coding in R and python. Applications for this vacancy should be made online and you will
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cloud processing (e.g., CloudCompare, Autodesk ReCap) and/or GIS. Immersive simulation environments and interactive design tools. Experience coordinating interdisciplinary research projects. Experience in
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cell RNA-seq, ATAC-seq Experience with python and/or R programming languages, including single cell package ecosystems (scanpy and/or Seurat) Experience working within HPC environments Experience working
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(python, C++, bash scripting…) for the modelling of molecular crystals. To work closely with other experimentalists in the consortium and support experiments through computations. To help develop and build
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or machine learning methods to tackle predictive questions. Proficiency in building and validating statistical methods and/or machine learning techniques in R or Python are also essential. Applicants
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Experience in statistical or scientific programming (ideally R and/or Python) Experience in analyzing large and/or complex datasets Interest in quantifying uncertainties for computer models and/or climate
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Requirements: A completed doctoral degree in chemistry, bio technology or a related field. Strong programming skills in Python, R, or similar languages. A track record of research competence and initiative