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. The successful candidate will be able to teach one of the undergraduate courses related to AI/ML, programming languages, data structures and algorithms, operating systems, network security, visualization, and
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computational approaches, including algorithm-guided design, sequence and structure-based analysis, epitope-related studies, and functional evaluation to support antibody development and mechanistic investigation
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research facility (https://lsic.hkbu.edu.hk/) built to support and promote cutting-edge neurocognitive studies across disciplines at HKBU. LSIC is equipped with a high-performance 3T Magnetic Resonance
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Department of Building and Real Estate Teaching Fellow in Construction and Real Estate Technology (Ref. 260327018) [will be conferred the title of Lecturer] The Department of Building and Real
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areas: (1) understanding virus-virus or virus-host interaction with structural biology; (2) artificial intelligence or computational-guided virological research; (3) immunity and immunopathology
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. The successful candidate will be able to teach one of the undergraduate courses related to AI/ML, programming languages, data structures and algorithms, operating systems, network security, visualization, and
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; Condensed Matter Theory; Computational Physics; X-ray Spectroscopy; Electronic Structure; Ultrafast Dynamics , Experimental Atomic Molecular and Optical Physics , Experimental Condensed Matter , Experimental
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collection, data analysis and drafting manuscript. The appointee is expected to work with researchers at Life Science Imaging Center (LSIC). LSIC is a central research facility (https://lsic.hkbu.edu.hk
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data structures, algorithms, and software engineering principles; Demonstrate strong problem-solving abilities and attention to detail; Have good command of written and spoken English and Chinese; Be
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Professor / Associate Professor / Assistant Professor / Research Assistant in Quantitative Marketing
) hold a PhD in Marketing or a related field with expertise in quantitative marketing and empirical modelling utilising applied economics and statistical methods such as structural modelling, causal