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microfluidic technology and/or AI will be an advantage; and (iv) a strong track record of publishing high-quality research articles and grant applications. The appointee is expected to work independently as
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Ph.D. degree in Computer Science, Robotics, Mechatronics, Biomedical Engineering, or a related discipline; demonstrate strong programming proficiency in C++ and/or C#, with a solid grasp of OOP, data
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satisfactory performance and funding availability. Applicants should possess a PhD degree in epidemiology, biostatistics, applied mathematics, data science or other related disciplines. They should have strong
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as soon as possible for one or two years on temporary term basis, with the possibility of renewal subject to satisfactory performance and funding availability. Applicants should possess a PhD degree in
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. Applicants should possess a Ph.D. degree in Biomedical Engineering, Biochemistry, Cancer Immunology, Genomics, Bioinformatics, or a related field, and demonstrate exceptional experimental, writing, and
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), to commence as soon as possible, on a one- to three-year temporary contract, with the possibility of renewal subject to funding availability and satisfactory performance. Applicants should possess a PhD degree
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availability and satisfactory performance. Applicants should possess a PhD degree in kinesiology, exercise science, public health or related disciplines. Applicants should have a strong sense of responsibility
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. Applicants should possess a Ph.D. degree in Neuroscience, Biomedical Engineering, Biochemistry, Molecular Biology, Genetics/Genomics, Stem Cell Biology, or a related discipline, and demonstrate outstanding
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possible for three years, with the possibility of renewal subject to satisfactory performance and funding availability. Applicants should possess a Ph.D. degree in Neuroscience, Biomedical Engineering
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the possibility of renewal subject to funding availability and satisfactory performance. Applicants should possess a PhD degree in Biology or related disciplines, preferably with experience in virology research