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performance. Applicants should possess a Ph.D. degree, proven experience and good publication record in molecular and/or developmental biology. Experience in tissue culture and molecular biology is essential
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funding availability. Key Duties and Responsibilities Lead and manage innovative research projects in BIM and LLM; Collaboratively develop LLM-based platforms for BIM modeling checking; Assist in crafting
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, including 3D modelling, physics integration, and cross-platform deployment (PC, mobile, AR); integrating and deploying AR navigation applications on Microsoft HoloLens, covering spatial mapping, SLAM
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performance. Applicants should possess a Ph.D. degree preferably in stem cell biology, molecular biology, biomedical sciences or a related discipline. Preference will be given to those with experience in two
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Biology, Immunology, or a related discipline. Experience in cancer research using various animal tumor models would be an advantage. The appointee will work together with a research and development team
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on protein modeling and de-novo protein design. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. The University
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datasets using R and/or STATA, and genetic/molecular epidemiology including Mendelian Randomization) Strong quantitative background Good communication and data visualization skills Ability to acquire new
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Experience in image analysis packages such as Freesurfer, FSL, SPM, or 3DSlicer, or using machine learning or artificial intelligence models would be advantageous What We Offer The appointee would be exposed
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in longitudinal analyses, multilevel modelling, data visualisation, and state-of-the-art statistical and epidemiological models would be an advantage. The appointees will be primarily responsible
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analysis, and proficiency in statistical and computer modelling software (e.g. R, Python, Matlab, and C++) would be advantageous. The appointee will work with a research team to study the methodologies