1,154 embedded-system "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions in Hong Kong
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possible and continue until April 30, 2026 , or until the post is filled, whichever is earlier. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity
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maintenance of HR systems in collaboration with external vendors (where applicable) and internal stakeholders to ensure HR system being aligned with broader organisational systems; (c) support the continuous
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Department of Industrial and Systems Engineering Postdoctoral Fellow (Full-time/Part-time) (Ref. 260401006) [Appointment period: eight months] Duties The appointee will assist the project leader in
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spoken English and Chinese. Fluency in Putonghua is preferred; (g) hands-on experience in HR related systems, and excellent computer skills, including advanced MS Excel, Word, and PowerPoint, etc.; and (h
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The appointees will assist the project leader in the research project - “Development and evaluation of an adaptive VR-based reminiscence system for individuals with mild cognitive impairment: a randomized
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focus on medical imaging AI research, and assist with managing AI-related infrastructures within the Department. He/She is expected to participate in applications for external competitive research grants
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focus on pre-clinical animal imaging research, and assist with managing pre-clinical animal imaging infrastructures within the Department. He/She is expected to participate in applications for external
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- “Multi-agent systems with variable morphology”. Qualifications Applicants should have an honours degree or an equivalent qualification. Applicants are invited to contact Prof. David Navarro via email at
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(e.g. Linux, R programming) is essential. The appointees will need to perform data analysis of single cell RNA-sequencing, transcriptomics data, Nanopore long read sequencing analysis and/or
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slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and demonstrated experience in computer vision or analysis of pathology images