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interactions and for forming charge-transfer excited states with spatially separated frontier orbitals. The project will combine organic synthesis, COF materials chemistry, structural characterization
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currently seeking a Postdoctoral Research Associate in Spatial Omics and Statistical Data Science to join an ARC-funded Discovery Project developing statistical and computational methods for the analysis
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Equation, Stochastic simulation algorithms, and approximation methods. ● Experience with single-cell or spatial transcriptomic data analysis. ● Familiarity with machine learning and deep learning
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far; strong gravitational lensing). Under the supervision of Prof. Martin Bureau, the postholder will primarily work with the international WISDOM team on high spatial resolution (~10 pc) ALMA studies
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) biology and osteoarthritis - Mouse genetic models and lineage tracing - Single-cell RNA sequencing and spatial transcriptomics - Skeletal mechanobiology and functional loading models - Gene therapy and
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scale. Besides PI’s Kraal and Wolthers, the PHOSFLUX team consists of a NIOZ-based PhD student performing experiments and analyses, and a UU-based postdoctoral researcher who focuses on modelling
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theory, quantitative analysis, spatial approaches, and reproducible workflows. Current research areas include: Spatial community ecology and landscape ecology Trait-based and functional ecology Ecological
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datasets (bulk, single-cell, and spatial). Primary responsibilities include developing sequencing pipelines, maintaining project databases, designing validation experiments, and drafting manuscripts and
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interdisciplinary research project at the intersection of spatial computing, AI, and surgical education. This one-year position will focus on the research on next-generation educational technologies for self-paced
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calling, annotation Perform rare-variant and association analyses across patient cohorts Integrate genomic data with single-cell, spatial, and other omic datasets Develop and maintain reproducible analysis