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. Professorship in Pathogen Evolution (ETH Zurich and Eawag) is seeking a highly motivated PhD Candidate to study drug resistance evolution in various pathogens through population genetic modelling and
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population genetic modelling and pharmacodynamic data analysis. The project's first objective is to develop a modular polygenic model that will help us understand the mechanisms underlying drug resistance
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. Professorship in Pathogen Evolution (ETH Zurich and Eawag) is seeking a highly motivated PhD Candidate to study drug resistance evolution in various pathogens through population genetic modelling. Project
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, Switzerland) in the group of Professor Xue-Mei Li We seek outstanding candidates working in Stochastic Analysis with emphasis on stochastic differential equations / multi-scale stochastic systems / SDEs
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analysis, processing, machine learning and statistical interpretation of HEP data at CERN in the ROOT project, taking advantage of hardware accelerators. Join CERN's SFT group in the Experimental Physics
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provide guidance for the type of analysis and visualization to be conducted. Your tasks include: Understanding the data structure based on survey experiments Summarizing, analyzing, and visualizing data
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and at EPFL. This innovative project aims to revolutionize the discovery of new anti-infective drugs and to advance our understanding of the mechanisms underlying antimicrobial resistance. The project
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company and see how drugs are developed to help addressing unmet needs and reimagining medicine? Do you have a collaborative mindset, excellent problem-solving skills, take ownership of assigned tasks, and
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cell biology, immune complex mediated renal diseases, autoantibody mediated effector function and inflammatory pathways in renal diseases. • A track record of leading drug discovery projects and working
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cell biology, immune complex mediated renal diseases, autoantibody mediated effector function and inflammatory pathways in renal diseases. • A track record of leading drug discovery projects and working