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as assigned Requirements A Ph.D. degree, with a strong research background in biomedical engineering, rehabilitation medicine, bioinformatics, epidemiology, biostatistics, big data analytics
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posts) (Ref.: 534149) We now invite applicants to join the Science, technology, engineering, and mathematics Lab of Drug Delivery, Nanomedicine & Advanced Therapeutics at the Department of Pharmacology
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Post-doctoral Fellow in the Department of Orthopaedics and Traumatology, School of Clinical Medicine
cell (iPSC) technology to create disease-in-a-dish models for high-throughput screening. Perform sophisticated transcriptomic data analysis (e.g., RNA-seq, single-cell RNA-seq) to identify novel
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, Nanomedicine & Advanced Therapeutics at the Department of Pharmacology and Pharmacy (several posts) (Ref.: 534149) We now invite applicants to join the Science, technology, engineering, and mathematics Lab
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-term basis, with the possibility of renewal, subject to financial availability and satisfactory performance. Applicants should possess a Ph.D. degree in Chemistry, Engineering, Medicine, Biology or other
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or the Director of the Museum Studies Programme or the PI. Applicants must have a PhD degree in Chemistry, Material Science and Engineering, Physics, or related disciplines, or in Conservation/Heritage
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posts) (Ref.: 532606) We now invite applicants to join the Science, technology, engineering, and mathematics Lab of Drug Delivery, Nanomedicine & Advanced Therapeutics at the Department of Pharmacology
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, Nanomedicine & Advanced Therapeutics at the Department of Pharmacology and Pharmacy (several posts) (Ref.: 532606) We now invite applicants to join the Science, technology, engineering, and mathematics Lab
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doctoral or master’s degree in Education, the Learning Sciences, Psychology, Computer Science, or a related discipline, with a strong background in technology-enhanced learning and assessment, AI in
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Sciences, Psychology, Computer Science, or a related discipline, with a strong background in technology-enhanced learning and assessment, AI in education, or learning analytics. Familiarity with theories