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experienced team, which provides service to research projects in need of different NGS-based methods, including DNA, RNA and single-cell sequencing, as well as spatial analysis. You will work with a project
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states and structural ensembles. The project builds on extensive expertise in the Piazza laboratory in quantitative proteomics, and proteome-wide analysis of protein structural changes. The PhD student
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microscopy, image analysis: Development of microscopes, fluidics, and data analysis pipelines used to acquire and quantify high-throughput binding data. Examples of suitable backgrounds: Optical engineering
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, or a related field, who enjoys interdisciplinary work spanning wet-lab experimentation and computational data analysis. In addition to the aforementioned requirements for the position: A Master’s
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law and is considered grounds for legal action. Additional preferred qualifications: Prior experience with bioinformatics workflows and analysis of large-scale multi-omics datasets (e.g., RNA-seq
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in advanced national postgraduate courses and training events. Qualification requirements The candidate should have a Ph.D. or similar working experience in Image analysis, Bioinformatics
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methods for detailed analysis of different RNA molecules in blood samples and contribute to a new research field with strong clinical potential. What you will work on The successful candidate will be
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experience in population genomic modeling (e.g., using SLiM), analysis of structral variants from long‑read data, population genomic analysis of whole‑genome re-sequencing data are a merit — these techniques
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existing genomic datasets and enable analysis of gene regulation at cell-type resolution. The project places particular emphasis on ensuring high data quality and developing robust methods that can be
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of cohort analysis, prediction modelling, or machine learning techniques • Good knowledge about pancreatic cancer epidemiology • Excel in R or SAS • Good publication records Priority will be given