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pipelines, Mixed Reality Toolkit customization, and performance tuning under hardware constraints; collaborating on robot motion planning, path optimization, and sensor data processing algorithms
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, Dental Materials, Dental Technology or a related discipline, with research experience in Non-linear Finite Element Analysis, CAD for dental prostheses, AI algorithm development using python / PyTorch, 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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funding. Requirements A PhD degree in a relevant discipline (e.g., civil engineering, computer science, AI, architecture, or related fields); A strong publication track record; Experience with Building
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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
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of renewal subject to satisfactory performance. Applicants should have a PhD degree in biological/biomedical sciences or a related discipline. They should be hardworking, self-motivated, and able to work
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. Applicants should possess a PhD degree in Biomedical Sciences, Biochemistry, Chemistry or a related discipline. They should have strong background and research experience in at least one of the following areas
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be requested to arrange for at least three references, including one from their PhD supervisor/advisor. Review of applications will commence as soon as possible and continue until November 30, 2025
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for RAP, or a one- to three-year temporary basis for PDF, with the possibility of renewal subject to satisfactory performance and funding availability. Applicants should possess a PhD in epidemiology