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large, highly diverse and multi-modal datasets (e.g., images, surveys, statistical and sensor data). Familiarity with geostatistical, GDAL, Python, PostGIS/PostgresSQL, Machine Learning, AI, Internet
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experience in in vivo large-scale two-photon calcium imaging Programming skills, Matlab, (and/or Python) Ability to communicate complex information clearly, orally and in writing Experience in
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track-record conducting research using large-scale routine or registry data, preferably in cancer High-level proficiency and experience in R, Stata, or Python, with demonstrable experience applying open
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; or Experience with high-fidelity solvers, e.g. SU2, OpenFoam, StarCCM+, Fluent; Proficiency in programming, e.g. Python, Matlab, C; Experience utilizing high-performance computing (HPC) to parallelize workflows
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Python through the Google Collaboratory platform, since this requires minimal IT involvement from the school and is less restricted by poor computing provision that can be common in UK state schools. We
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; or Experience with high-fidelity solvers, e.g. SU2, OpenFoam, StarCCM+, Fluent; Proficiency in programming, e.g. Python, Matlab, C; Experience utilizing high-performance computing (HPC) to parallelize workflows
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track-record conducting research using large-scale routine or registry data, preferably in cancer High-level proficiency and experience in R, Stata, or Python, with demonstrable experience applying open
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datasets (e.g., images, surveys, statistical and sensor data). Familiarity with geostatistical, GDAL, Python, PostGIS/PostgresSQL, Machine Learning, AI, Internet of Things and Remote Sensing datasets is
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. Experience in developing xApps and rApps is an advantage. Proficiency in Linux system administration, virtualization (Docker/Kubernetes), and scripting (Python, Bash). Strong programming skills in Python or C
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welcome to apply. Familiarity with image data analysis tools such as SPM, FSL, AFNI, and/or DSIStudio etc will be an advantage. Signal processing and programming skills (e.g. with Matlab, Python) will be