34 development "https:" "https:" "https:" research jobs at THE UNIVERSITY OF HONG KONG
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and development of courses in the areas of law mentioned above. Information about the Faculty can be found at http://www.law.hku.hk/ . For enquiry, please email to dolsen@hku.hk ). A highly competitive
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research and actively participating in research communities. He or she will also be expected to contribute to the development and delivery of teaching on the Faculty’s undergraduate and taught postgraduate
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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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strong interest in cryo-EM methodology development, nanomaterials, and structural analysis of biological samples. The appointee will conduct basic science and translational research focused on integrating
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research team to conduct data analysis for different types of data, including genomic/metagenomic sequencing data, ecological surveillance data, as well as development of analysis pipeline. Working off
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and problem-solving skills The ability to multi-task and work on a tight schedule to meet project deadlines The ability to work well independently and collaboratively as a team The capacity to develop
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develop and pursue a coherent research agenda The ability to develop a body of high-quality publications in scholarly journals with global impact Proficiency in statistical software packages, including R
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epidemiology and control to support evidence-based policies. He/She will develop research programmes independently; write scientific publications, grant proposals and reports. He/She will teach public health
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. The appointees will design and prototype mechanical components of portable automated devices. They will also be responsible for developing and integrating electronic circuits, camera modules, various sensors, and
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multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities