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Career Advancement Programme in Mobility Planning for Science Cities

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๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Introduction to Science City Mobility Planning
  • Sustainable Transportation Strategies for Science Cities
  • Advanced Data Analytics for Mobility Management (including keywords: big data, smart city)
  • Mobility Planning and Urban Design for Science Cities
  • Policy and Governance for Science City Mobility
  • Transportation Demand Modelling and Forecasting
  • Case Studies in Science City Mobility Solutions
  • Funding and Financing for Science City Mobility Projects (including keywords: grant writing, project management)

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Career Role Description Transport Planner (Science City Focus) Develops and implements transport strategies for science city environments, considering sustainability and accessibility.

High demand for expertise in integrated transport modelling.

Urban Mobility Analyst (Science & Technology) Analyzes data to optimize mobility solutions within science city contexts, focusing on smart city technologies and data-driven decision-making.

Strong analytical and programming skills are crucial.

Sustainable Transportation Consultant (Science Parks) Advises on sustainable transport options for science parks, incorporating green technologies and promoting cycling, walking, and public transport.

Requires excellent communication and project management skills.

Data Scientist (Mobility Planning - Science Cities) Applies data science techniques to improve mobility planning within science city ecosystems, using predictive modelling and AI to enhance efficiency and user experience.

Advanced data analysis skills essential.

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์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
CAREER ADVANCEMENT PROGRAMME IN MOBILITY PLANNING FOR SCIENCE CITIES
์—๊ฒŒ ์ˆ˜์—ฌ๋จ
ํ•™์Šต์ž ์ด๋ฆ„
์—์„œ ํ”„๋กœ๊ทธ๋žจ์„ ์™„๋ฃŒํ•œ ์‚ฌ๋žŒ
London School of International Business (LSIB)
์ˆ˜์—ฌ์ผ
05 May 2025
๋ธ”๋ก์ฒด์ธ ID: s-1-a-2-m-3-p-4-l-5-e
์ด ์ž๊ฒฉ์ฆ์„ LinkedIn ํ”„๋กœํ•„, ์ด๋ ฅ์„œ ๋˜๋Š” CV์— ์ถ”๊ฐ€ํ•˜์„ธ์š”. ์†Œ์…œ ๋ฏธ๋””์–ด์™€ ์„ฑ๊ณผ ํ‰๊ฐ€์—์„œ ๊ณต์œ ํ•˜์„ธ์š”.
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