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, including automated peptide synthesizers and other relevant instrumentation. Establish and optimize workflows for peptide production, conjugation, quality control, and analytical characterization, ensuring
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record demonstrating expertise in multi-omics analysis, particularly single-cell and spatial transcriptomics. This includes the processing and interpretation of multi-omics, single-cell (e.g., scRNA-seq
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experience in B and T cell immunology, or virology / microbiology and a proven research track record. Strong communication skills and a good command of spoken and written English are essential. Applicants
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funding availability and satisfactory performance. Applicants should possess a Ph.D. degree in biological/medical sciences with experience in B and T cell immunology, or virology / microbiology and a proven
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Responsibilities Participate in research program of PID modelling using stem cell platforms conducted in the Division of Rheumatology & Clinical Immunology. Supervise junior research staff and postgraduate students
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considered for the post Post-doctoral Research Fellow; Experience with the following and other techniques: molecular cloning and expression of vaccine antigens, cell culture assay for neutralisation antibodies
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for autonomous platforms and laboratory systems. Lead research in smart electric power hybridisation (e.g., batteries, supercapacitors, fuel-based systems, renewable integration). Develop control and energy
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cloning and expression of vaccine antigens, cell culture assay for neutralisation antibodies, flow cytometry analyses of T-cell responses, and nanoparticle formulation; A passionate and dynamic individual
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): Multi-omics & Single-cell Analysis: Processing and interpretation of multi-omics and single-cell datasets (e.g., scRNA-seq) to investigate cellular heterogeneity, host-pathogen interactions, and immune
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at least one of the following thematic areas (expertise in multiple is a plus, but not required): Multi-omics & Single-cell Analysis: Processing and interpretation of multi-omics and single-cell datasets