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written and oral communication skills in English. Proficiency in computational methods, with experience in modeling using Fortran, MATLAB, and/or Python Demonstrated research experience in earthquake
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experience in programming languages such as R, Python, and familiarity with NLP tools and techniques (essential) Proven track record in handling and analyzing large healthcare dataset (essential) Track record
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related chemical box models will be a distinctive advantage. · Fluency in Fortran 77/90 including writing, debugging, and optimizing code in a UNIX/Linux environment. Familiarity with Python/IDL/MatLab
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technologies, and decarbonization strategies. Capable of working independently and in collaboration with team members. Experience in energy systems modelling, techno-economic analysis, Python programming
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improve health and wellbeing • Strong quantitative skills in data analysis using R, Stata, Python or similar software and ability to summarise results using clear, concise and relevant tables and graphs
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(e.g. with Matlab, Python) Experience with neuroimaging techniques (MRI, EEG and/or TMS). Familiarity with image data analysis tools such as SPM, FSL, AFNI, and/or DSIStudio, etc. Experience with
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publications, patents, or software developments. • Strong technical proficiency in AI modeling, computational tools, and programming languages relevant to AI research (e.g., Python, CUDA). Key Competencies
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conferences and/or journals. Working knowledge of the C/C++ or Python programming language. Working knowledge in binary analysis and code reverse engineering is advantageous. Familiarity with 5G and Wireless