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immunohistochemistry, microscopy and live cell imaging. Essential Application Experience in image analysis or bioinformatics analysis. Essential Application Knowledge of programming languages, e.g. Python/R, and the
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statistical methods, and their application to healthcare technologies research. Essential Application Excellent programming skills in Python, Julia or similar, including scientific computing and code curation
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to identify risks and plan alternative methods to meet project requirements Essential Application and interview Experience of python coding to support data analysis Desirable Application and interview Further
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or scripting (for example, Python, MATLAB) for model development. Desirable Application/interview Familiarity with tribology, wear, and surface engineering. Desirable Application/interview Further Information
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well as partaking in detector operation shifts. The candidate should have a good knowledge of particle physics and experience programming in Python or C++. Instructions for applying can be found on the website https
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complex specifications using using query languages such as SQL (Application / Interview) ● Experience in data cleaning and linkage of datasets in a programming language (R or Python) (Application
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on an existing experiment design. This will allow the student to familiarise themselves with the relevant Physics, literature, Fortran code, Python analysis tools, and simulation setup while providing a valuable
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digital pathology or AI-based analysis platforms (e.g., QuPath, HALO, CellProfiler, R/Python) Desirable Application/Interview Further Information Grade 7 Salary £38,249 - £46,735 Work arrangement Full-time
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of code acceleration (GPU) Participate in numerical modelling (HPC (GPU), MPI Fortran / C, C++ Kokkos, Python, Perl) of SAMS front end and physics/test modules. Write research reports, progress reports
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for biological research Essential Application/Interview Working knowledge of a programming language relevant to biological analyses, e.g. R/Python Essential Application/Interview Experience presenting research