39 pattern-recognition-"https:" "CMU Portugal Program FCT" Postdoctoral research jobs at THE UNIVERSITY OF HONG KONG
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project funded by the Health Bureau – Health and Medical Research Fund (HMRF): Lead the overall research design and execution, including the development of analytical frameworks grounded in health economics
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research design and execution, including the development of analytical frameworks grounded in health economics across five priority areas: (i) HA Drug Formulary; (ii) assessment and adoption of medical
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governance, or (3) AI methods for social science related to the Centre’s priorities revise the doctoral dissertation for publication, if applicable design/refine research methodologies coordinate data
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cancer and neurodegenerative diseases. Duties and Responsibilities: Design and develop small molecules, nucleic acids and peptide therapeutics. Design, prepare and characterize nanoparticles. Employ state
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such as CT, MRI, X-ray, and ultrasound. Research areas include image segmentation, detection, classification, keypoint recognition, image registration, and image synthesis, with the goal of improving
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leadership in the design, execution, and analysis of real-world evidence (RWE) studies. Oversee the development and validation of the common data model and the data integration platform for use in healthcare
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Report to Director (RWSAC) and lead the scientific and methodological core of the RWSAC. Provide scientific leadership in the design, execution, and analysis of real-world evidence (RWE) studies. Oversee
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industry experience. Proficiency in CAD software (such as SolidWorks) and PCB design tools (like Altium or KiCad) is essential. They should demonstrate hands-on experience in embedded programming (C/C
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the supervision of Dr. Shuofeng Yuan. Please find more details for research projects under Dr. Yuan’s lead at https://hkumicro.hku.hk/university-staff/dr-yuan-shuofeng/ . Pre-application inquiry with Dr. Yuan
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, classification, keypoint recognition, image registration, and image synthesis, with the goal of improving diagnostic and therapeutic outcomes. The successful candidate will leverage the unique clinical resources