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metastases. spaXio combines cutting-edge methods like spatial multi-omics, 3D tumoroid models, and AI-powered data analysis to uncover how metastatic niches form and how they might be targeted therapeutically
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responsible for the development and implementation of data analysis methods to be used on two-photo imaging datasets collected by scientists within the center as well as the development of experimental
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require more than visually plausible models: they require analysis‑ready geometry for simulation and decision support. This PhD project develops methods to generate LOD3 urban surface meshes from
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ambitious postdoctoral scientist with a PhD in Data Science, Bioinformatics, or equivalent, as well as expertise in genomic data science. Experience in single-cell and/or spatial genomic data analysis and
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. Knowledge and Skills Essential: C1 A comprehensive and up-to-date knowledge of vertebrate ecology C2 Skilled in the use of GIS for mapping and spatial analysis of ecological data C3 Skilled in DNA extraction
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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
: Benchmarking existing and developing novel computational approaches for inference of microRNA activities from single-cell/nucleus and spatial omics (NGS, MassSpec). Interrogation of GWAS data for identifying
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of larval zebrafish. Data analysis: analyze whole‑brain calcium imaging recordings. Spatially resolved molecular methods: apply expansion microscopy (ExM) adapted for spatial transcriptomics to identify
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, and collaborate with other faculty as a co-investigator on new grant initiatives. Example areas of possible methodologic applications include, but are not limited to, causal analysis, bias analysis
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Position on wellbeing and input-output analysis The Institute of Environmental Sciences (CML) is looking for a PhD candidate to work on a systems perspective on wellbeing to move beyond GDP using input
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cancer and developing innovative biomarkers for early detection and patient stratification. ⸻ Required Qualifications • PhD in a relevant field (e.g., Molecular Biology, Genetics, Bioinformatics