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The High Performance Computing (HPC) research group (led by Prof. Florina M. Ciorba) in the Department of Mathematics and Computer Science at the University of Basel (Switzerland) invites
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). Applications from candidates without documented hands-on mouse experience will not be considered. The project also includes high-throughput metabolic profiling of genetic perturbations, computational data
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have the opportunity to exploit some of the cutting-edge experimental and computational methods, comprising constraint-based and kinetic modeling, statistical analysis of large datasets, high-throughput
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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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-cancer drug discovery. Your main tasks will be: Developing new strategies to combine high-throughput metabolomics with 3D cell culture models Perform large chemical and genetic studies in cancer cell lines
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Deadline 14 Feb 2026 - 22:59 (UTC) Country Switzerland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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, advanced high-parameter flow-cytometry, as well as murine models and human organoid technology to investigate mechanisms of longevity of immunological T and B cell memory. A strong interest in quantitative
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solid cancers. Your position The successful candidate will have the opportunity to work with cutting-edge experimental methods, including CRISPR-Cas9, single-cell RNA and ATAC sequencing, advanced high
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to exploit some of the cutting-edge experimental and computational methods, comprising constraint-based and kinetic modeling, statistical analysis of large datasets, high-throughput metabolomics, time-lapse
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electron microscopy, atomic force microscopy, metal evaporation, wire bonding), performing computer-based simulations and modelling in COMSOL, physics of strongly correlated many-body systems. We offer you