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Post-Doctoral Position - Oncology & molecular biology & radiology imaging - (210001I2) Exciting positions for postdoctoral fellows or research specialists in chemistry or in molecular biology
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(33%) • Conduct full stack development efforts including UI/UX, code maintenance, and deployment pipelines (33%) • Evaluate and refine AI models using annotated data and real-world image datasets (10
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We are seeking a highly motivated and skilled individual to join our neuroimaging laboratory, which specializes in multimodal image fusion, multiparametric modeling, and machine learning techniques
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(BBB) dysfunction and edema in brain cancer, a major source of morbidity in the disease. Using radiomics, single-cell, and spatial omics, the project integrates imaging and molecular data to better
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, distributions, and dynamics in metallic, oxide, and semiconducting systems. This project integrates high-throughput and in situ TEM experimentation with AI/ML-driven image analysis and computational modeling
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science, conservation science and planning, or a closely related field at the time of appointment. Preferred qualifications ● Coding fluency in R, Stata and/or Python for statistical analyses; ● Excellent
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health. Specifically, our approach combines finite element modelling and medical image analysis. Our finite element brain models are based on tissue segmentation and our numerical simulations are validated
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involving animal immunization, immune assays, flow cytometry, cell imaging, deep sequencing and data analysis, etc. Enquiries about the post should be sent to the AIDS Institute at aidsinst@hku.hk . A highly
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models using sophisticate genetic tools, in vivo time-lapse imaging and multi-omics methods to decipher the underpinning mechanisms of regeneration. Our findings provide new targetable mechanisms
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, prototyping and data analysis to contribute to innovative translational near-infrared spectroscopic and tomographic imaging systems and clinical applications. The candidate will lead the design, testing and