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-heavy domains. In addition to infrastructure leadership, the Chief Architect will drive research in parallel computing, distributed systems, performance engineering, and next-generation AI infrastructure
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of metabolic pathways essential for biosynthesis and redox balance. We investigate how p53 integrates metabolic cues by functioning as both a sensor and regulator of cellular metabolism. In parallel, we seek
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interests, you will have the opportunity to work with: High‑throughput functional genomics: pooled CRISPR and base‑editing screens, barcoded overexpression libraries, massively parallel reporter assays
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therapeutic context. Proficiency in mammalian cell culture, including complex or patient-derived cellular models. Ability to manage and execute multi-step experimental workflows across parallel projects with
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technologies, massively parallel genetic perturbations (deep mutational scanning), spatial biology, functional genomics, or highly scalable biochemical experimental strategies. In addition to providing access
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scalable experimental and computational approaches is hence considered a big plus. Experimental technologies will cover (but are not limited to) single-cell technologies, massively parallel genetic
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the NIH, Department of Defense, the Gates Foundation and private industry. A parallel search is underway for a postdoctoral fellow for candidates who do not yet have at least two years of post degree
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working on related topics Participate in teaching and supervision activities, in line with the candidate's profile and interests The research activities will be hosted by the Parallel Computing and
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Postdoctoral Research Associate - Hybrid Computational-Experimental Scientist in Bacterial Drug Resp
. • Is motivated to develop new methods and biological insights in parallel. Especially Excited If You Have • Experience with bacterial genetics, functional genomics, or drug-response assays. • Familiarity
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simulation environments and real-world deployments with the nano-drones of the University's SwarmLab The research activities will be hosted by the Parallel Computing and Optimisation Group (PCOG) at SnT