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at the University of Basel, Switzerland (https://duw.unibas.ch/en/ecoevo/ ), is looking for a PhD student in the field of Conservation Genetics. New computational and analytical tools in population genetics allow
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Your position New computational and analytical tools in population genetics allow to estimate both contemporary and past effective population sizes. With these in hands, the project aims to verify
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of novel physics-guided AI algorithms for drug design, integrating physics-based modeling with state-of-the-art deep learning methods. The project will focus on creating a next-generation docking framework
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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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metabolic regulation. The mission of the group is to understand fundamental mechanisms regulating short- and long-term metabolic adaptation to genetic and chemical perturbations to find new and unconventional
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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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applications for a PhD position funded by the SNF Bridge Discovery project “Family Gene Toolkit: A digital service to support genetic care in Europe” (grant number 237643). The BRIDGE Family Gene Toolkit project
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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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. The mission of the group is to understand fundamental mechanisms regulating short- and long-term metabolic adaptation to genetic and chemical perturbations to find new and unconventional therapeutic strategies