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invites applications for two positions as Research Assistant Professor (RAP) in Urban Analytics or Construction AI (Ref. no. 532734). Appointments will commence as soon as possible on a one- to three-year
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the project leader in the research project - “Unmanned underwater vehicle inspection system for marine engineering structures”. Qualifications For the post of Research Assistant, applicants should have a
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/ RIKEN. The appointee is also expected to work on construction of detection system. Information about Prof. Lee’s group can be obtained at http://www.physics.hku.hk/~nuclear/ A competitive salary
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on construction of detection system. Information about Prof. Lee’s group can be obtained at http://www.physics.hku.hk/~nuclear/ A competitive salary commensurate with qualifications and experience will be offered
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communication abilities. Preference will be given to candidates with research experience in structural biology and molecular biology. In particular, we seek applicants with expertise in techniques relevant
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. Applicants should possess a Ph.D. degree in chromatin biology, epigenetics, structural biology, cell biology, or a related field, and demonstrate exceptional experimental, writing, and communication abilities
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satisfactory performance and funding availability. Applicants should possess a Ph.D. degree in Virology. Expertise in mechanistic research or structural virology are particularly welcome. They are expected to be
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. Applicants should possess a Ph.D. degree in Structural Biology (macromolecule crystallography or cryo-EM) or Virology, and demonstrate exceptional experimental, writing, and communication abilities. Preference
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. Positions are available in the following Faculties/Schools/Departments/Laboratories: - Department of Architecture - Department of Real Estate and Construction - Department of Urban Planning and Design
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grasp of OOP, data structures, algorithms, and debugging tools; familiar with medical image processing (vtk and ITK), medical device communication protocol (OpenIGTLink) and open source medical imaging