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‑up assessment, or techno‑economic evaluation of food ingredients or processes. Hands-on experience in processing trials, analytical characterization, and data interpretation. Ability to translate
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candidate will investigate the role of ER-phagy in maintaining endoplasmic reticulum (ER) homeostasis and explore how dysregulation of this pathway contributes to human disease. Applicants should hold a PhD
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. Requirements: PhD in a relevant discipline (e.g. Data Science and Analytics, Education, Psychology, Social Sciences) Applicants with master’s degree in relevant discipline are also invited to apply Proficiency
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approach (e.g. interviews or classroom observations). The PhD Fellow will be expected to be able to use advanced quantitative methods to analyze ILSA data. The successful candidate should have prior
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Environmental Engineering. Excellent communication and presentation skills in English and Chinese, and high analytical ability to analyse and illuminate data, interpret reports, evaluate and criticise texts, and
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project. The PhD candidate must take part in the Faculty of Social Sciences’ approved PhD program (TIK track) and is expected to complete the project within the set fellowship period. For more information
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international scientific meetings. Contribute to the generation of preliminary data, analytical frameworks, and methodological results that support NIH and foundation grant applications. Training and Career
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and interns involved in related projects. Collaborate with industrial and academic partners. Perform any other duties related to the research program. Job Requirements: Preferably PhD in Computer
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data for scientific research; iii) development and application of analytical and numerical models and excellent programming skills Interest in co-supervising master and PhD students from the partner
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works such as high-quality paper writing. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a