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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- HAINAN BIELEFELD UNIVERSITY OF APPLIED SCIENCES (BiUH)
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- Beijing Normal-Hong Kong Baptist University (BNBU)
- European University Institute
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- Beijing Institute of Mathematical Sciences and Applications
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- TAIPEI MEDICAL UNIVERSITY (TMU)
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, collaborate with the top experimentalists, and perform numerical simulations (matlab/python/mathematica). Key Requirements: • Hold a PhD degree in Physics or related fields from a recognized university
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or Python, with familiarity in C++ programming. Experience in developing industrial-level optimization solvers and high-performance computing software is preferred. Research Engineer A Ph.D. in engineering
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analysis, or large-scale data analysis. Proficiency in relevant programming languages and computational tools, such as Python, R, STATA, and/or GIS, and the ability to teach computational and data-analytical
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programming languages and computational tools, such as Python, R, STATA, and/or GIS, and the ability to teach computational and data-analytical methods to students from diverse disciplinary backgrounds
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from the following 5 core subjects: Programming with Python Embedded Systems Sensors & Actuators Measurement Technologies Analogue & Digital Electronics Develop practical teaching materials and
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: Programming 1(Python) Fundamentals of AI Data Analytics & Machine Learning Deep Learning Develop course materials and curricula aligned with international standards and industry practices in AI, machine
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, multimodal data analysis, social network analysis, computational text analysis, or large-scale data analysis. Proficiency in relevant programming languages and computational tools, such as Python and/or R, and
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research initiatives and contribute to grant writing, research seminars, and academic events. Technical Proficiency: Proficiency in at least one health data analysis or statistical tool (e.g., Python, R
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in relevant programming languages and computational tools, such as Python and/or R, and the ability to teach computational and data analytical methods to students from diverse disciplinary backgrounds
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writing, research seminars, and academic events. Technical Proficiency: Proficiency in at least one health data analysis or statistical tool (e.g., Python, R, or equivalent); Familiarity with