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research methods. Those with research expertise in Digital Policy and Governance, Food Value Chains and Policy Instruments, Environmental Economics, Resource Circularity, Community-level Institutions and the
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, Environmental Economics, Resource Circularity, Community-level Institutions and the Commons are preferred. The appointee will be responsible for planning and managing research projects; collecting and analysing
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an outstanding research track record and extensive expertise in cancer bioinformatics, cancer biology, cancer immunology, deep learning models and/or artificial intelligence, as well as hands-on experience with
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immunology, deep learning models and/or artificial intelligence, as well as hands-on experience with cell culture, cellular/molecular biology, and animal studies. The ideal candidate should be self-motivated
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the field of public health, biostatistics, pharmacoepidemiology and epidemiological studies. They must be proficient in data analysis using statistical or computer modelling software, such as Stata or R
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, tissue culture or primary cell culture models, b) ability to work with infectious small animals, or c) omic-science. The appointee will conduct research projects related to emerging agents of hepatitis
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funding availability. Key Duties and Responsibilities Lead and manage innovative research projects in BIM and LLM; Collaboratively develop LLM-based platforms for BIM modeling checking; Assist in crafting
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, molecular and cell biology, and animal models. Skills in bioinformatics are advantageous. Candidates should be highly motivated and have a track record of publications in international journals. The appointee
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environmental metagenomics would be preferred. They should be logical, detail-oriented and self-motivated. Preference will be given to those with experience in virus transmission. The appointees will lead a
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, including 3D modelling, physics integration, and cross-platform deployment (PC, mobile, AR); integrating and deploying AR navigation applications on Microsoft HoloLens, covering spatial mapping, SLAM