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the last 3 years; Meticulous with positive work attitude, passionate for research, and able to work in a fast-paced research environment as a team member; Excellent problem-solving and analytical skills
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society from analytical and empirical perspectives. The NOMIS Fellowship Program supports groundbreaking research projects related to how images act as models or paradigms in scientific and aesthetic
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Familiarity with qualitative analytic techniques (e.g. thematic or framework analysis) Experience using NVivo or similar qualitative data analysis software (desirable) Competence in using Microsoft Office and
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experimental experience would be preferred. Excellent analytical and problem-solving skills. Ability to work independently, manage projects, and meet deadlines. Effective communication and presentation skills
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verbal and written communication skills. Strong analytical and conceptual abilities. Able to work independently and in a team to realize proposed research work. Publication track record is an advantage
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researchers, e.g., PhD students and Research Assistant, to help with the vision and data analytics tasks. Discussion and study recent papers and baseline codes in this field. Report to advisor and the team
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researchers, e.g., PhD students and Research Assistant, to help with the vision and data analytics tasks. Discussion and study recent papers and baseline codes in this field. Report to advisor and the team
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experimental and analytical skills as well as strong written communication abilities. Additionally, the successful candidate has demonstrated the ability to work collaboratively with team members of various
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according to established protocols Operating analytical equipment, such as HPLC, LC-MS/MS, etc Presenting research progress through oral presentations and publications. Required Education B.S. in a relevant
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-economic analysis and life cycle assessment methodologies. • Proficiency with modelling and simulation software relevant to TEA and LCA. • High analytical ability to analyse and illuminate data