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Banking. Your skills and attributes for success: Expertise in one or more of the following areas: Machine Learning, Reinforcement Learning, or LLM orchestration. Strong programming skills in Python and
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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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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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thermal analyses, XRD and solid-state NMR. To develop and implement coding tools (python, C++, bash scripting…) for the automation of MoSS characterisation To work closely with other experimentalists in
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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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publications in high impact journals, advanced proficiency in R and Python, and prior experience in cardiac imaging and high-dimensional data integration are essential. The postholder will be expected to work
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methods for generating simulation models of healthcare pathways in Python. The Health Service Modelling Associates (HSMA) Programme is an online national training scheme for public sector analysts
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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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with mouse genetics, molecular biology (including functional genomics) and bioinformatics (including UNIX, R and Python for single cell analysis). You will be highly motivated, current with
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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