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. The working hours are 15 hours per month. Your tasks will include supporting in the data collection and preparation and also good knowledge of statistics experience in programming with the tools R, Python
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to this classification, as directed Job Requirements: A Master’s degree in computer science, data science, information science, digital humanities Experience with social science/humanities/arts research methods Python
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related field. Experience using SQL for data management. Experience using Python and/or R for data analysis. Experience using Tableau and/or comparable BI tools for data visualization. Familiarity with CRM
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Cantonese; (c) have hands-on experience with statistical software or programming languages, such as Stata, R or Python; (d) have strong interpersonal, communication, organisational and problem-solving
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/maintaining, isotope ratio mass spectrometers or similar Familiarity with software that can be used to process mass spectrometric data (R, MATLAB, Python), and some basic coding experience. Cooperation between
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aerosols. - Visualization and post-processing tools: Proficiency in visualization tools (e.g., Python) and data post-processing tools to analyze simulation results and generate graphs, maps, and diagnostics
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, or Python. Experience in visualization software, e.g., Blender, DragonFly. Knowledgeable in programming, e.g., Python. Experience in developing user-friendly Graphical User Interfaces (GUI:s) High motivation
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. Preferred: Integration of wet lab findings with computational analysis of multi-omic data (e.g., structural variants, transcriptomics) using R or Python pipelines. Mentoring and Professional Development
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, or layered materials, as well as Python programming (or similar) is a plus. Most importantly, an applicant should be driven by curiosity and should be motivated to work through a difficult long-term (4 years
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Biomechanics and Sports Science; and (b) software and modeling skills in OpenSim, Vicon, Zebris, Python and MATLAB. Applicants are invited to contact Dr Meizi Wang at telephone number 6315 7129 or via email