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with data analysis/modelling and programming (R or Python). Advantageous: geostatistics, digital soil mapping, remote sensing, GIS, big data or cloud tools. Proactive working style, strong communication
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analysis of large datasets, high-throughput metabolomics, time-lapse microscopy, to investigate how to pharmacologically interfere with fundamental mechanisms in the regulation of cancer metabolism
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-on mouse experience will not be considered. The project also includes high-throughput metabolic profiling of genetic perturbations, computational data analysis, and next-generation sequencing (NGS) of pooled
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, including the use of CRISPR-engineered cancer cell lines and metastatic models. In addition, the project integrates high-throughput metabolic profiling of genetic perturbations, computational data analysis
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with the analysis of metabolomics data. Interest in mathematical modelling of metabolic and regulatory/signalling network. You will have access to state-of-the-art research equipment in metabolomics
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analysis procedures and computer tools for automated data acquisition/processing (Python/C++/Labview programming languages), Team player with excellent communication skills and collaborative working style
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January 15, 2026. For more information, contact Yvonne Willi (yvonne.willi@unibas.ch ). Where to apply Website https://academicpositions.com/ad/university-of-basel/2025/phd-fellowship-in-con… Requirements
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be investigated. Practical work involves collecting of plant material, wet lab work, bioinformatics, population genetic analysis, and growing plants to assess mutation accumulation. Your profile We
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educational track record in condensed matter physics and optics, Familiarity with data analysis procedures and computer tools for automated data acquisition/processing (Python/C++/Labview programming languages