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image analysis packages such as Freesurfer, FSL, SPM, or 3DSlicer, or using machine learning or artificial intelligence models would be advantageous What We Offer The appointee would be exposed to ample
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, with the possibility of renewal subject to funding availability and satisfactory performance. Applicants should possess a PhD or Master's degree in Nursing, Social Sciences (including Psychology, Social
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, attentive to details, and able to work independently and in collaboration with a multidisciplinary team. Knowledge of multilevel modelling and other statistical methods for longitudinal data analysis
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peptide conjugates, cyclic peptides, and other next-generation peptide-based drug modalities. Independently operate and maintain peptide synthesis, purification, characterization, and analytical platforms
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or the Director of the Museum Studies Programme or the PI. Applicants must have a PhD degree in Chemistry, Material Science and Engineering, Physics, or related disciplines, or in Conservation/Heritage
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analysing large scale quantitative research using advanced statistical methods such as multiple linear regression, mediation analysis, multilevel modelling, and latent variable models. Strong organizational
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subject to satisfactory performance. The project team is engaged in cutting-edge research on organoid-based virus research, dedicated to uncovering novel insights into virus-host interactions and developing
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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. They should
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multimodality deep learning model development in different sarcomas. Publications in related fields will be a strong advantage. Opportunities for publication and independent development will be available
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for academic publications, building research partnerships with local researchers and community partners and stakeholders. We are looking for someone with (1) PhD in Social Work, Geography, Psychology, Policy