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templating of silica condensation by phase-segregated lipid bilayers and GUVs. (3) integrate biomineralization peptides into lipid systems to drive spatially controlled mineralization, and (4) extend
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for spatial proteomics and multiplexed imaging datasets. Conduct CyTOF and FCS data analysis, including data preprocessing, normalization, clustering, and visualization. Analyze medical record data, integrating
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, epidemiological, and environmental data Taking part in developing and validating predictive cancer‑risk models Contributing to spatial analysis and data integration in geographic information systems (GIS
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(and previously unavailable) spatial and temporal coverage for health research. Early findings have already informed a study, involving CoI Lucy Neal, published in Allergy (https
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that have been made available for the project using instruments and facilities at Curtin University. Work collaboratively with researchers (including PhD students) in the asteroid sample analysis team
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working as a PhD candidate . Where to apply Website https://www.academictransfer.com/en/jobs/356354/phd-position-numerical-analysis… Requirements Specific Requirements You hold, or are working towards, a
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; Experience with (statistical) data analysis; Previous experience with agent-based modeling or any type of spatial modeling is beneficial; Ability to work with spatial data/GIS is an asset; Domain knowledge in
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includes primary immune cell isolation and manipulation, high-dimensional flow cytometry, multiplex immune profiling, spatial and single-cell transcriptomics, and functional assays to evaluate immune
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the network training as secondments and events are foreseen, applicants must be ready to travel Applicants must be eligible to enroll on a PhD program at TU Dresden (see https://tu-dresden.de/ing/maschinenwesen
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optimising workflows for efficiency, robustness and cost-effectiveness. Multi-omic data analysis: Handle diverse multi-omic data types, including cancer WGS, RNA-seq, single-cell, spatial transcriptomics, and