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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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systems. Proficiency with commercial modelling software, e.g., ANYSYS Fluent, or open-source modelling platforms such as OpenFOAM or Python. How to apply Candidates should apply online, carefully answer all
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systems. Proficiency with commercial modelling software, e.g., ANYSYS Fluent, or open-source modelling platforms such as OpenFOAM or Python. How to apply Candidates should apply online, carefully answer all
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. Familiarity in using ABAQUS user materials (UMATs) and in programming (Python, Fortran and Matlab) would be an advantage. Excellent communication, time management, and team working skills is essential
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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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or Python. How to apply Candidates should apply online, carefully answer all the application form questions, and attach a curriculum vitae (with details on education, research experiences, successes and the
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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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analysis using tools such as Python, MATLAB or LabVIEW. Analytical and problem-solving skills with attention to accuracy and detail. Ability to plan, organise and manage experimental work in a laboratory
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results in a suitable format for dissemination of results in reports presentations, and research papers etc. Demonstrable knowledge of Programming skills (Python/C++/Matlab) Interest in developing AI and