16 algorithm-development-"Multiple"-"Prof"-"UNIS"-"DIFFER" research jobs at University of Basel in Switzerland
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of Competence in Research (NCCR) AntiResist . We develop and use state-of-the-art organoid technology to better understand human infections and foster antibiotic discovery. We conduct a wide range of assays
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Your position The project aims to develop novel anti-biofilm compounds that can be used to treat biofilm-related infections caused by a range of bacterial pathogens. Based on structural data
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The Center for Intelligent Optics (CIO) develops advanced optical technologies, including imaging, spectroscopy, and laser ablation methods. Our goal is to bridge these cutting-edge laser
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driving the development of innovative therapies that address unmet medical needs. With over 70 research groups and 800 employees, the Department of Biomedicine is the largest department within
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driving the development of innovative therapies that address unmet medical needs. With over 70 research groups and 800 employees, the Department of Biomedicine is the largest department within
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Hospitals committed to deepen the understanding of health and disease while driving the development of innovative therapies that address unmet medical needs. With over 70 research groups and 800 employees
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committed to deepen the understanding of health and disease while driving the development of innovative therapies that address unmet medical needs. With over 70 research groups and 800 employees
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Ideas, SBB, and gfs.bern, you will collaborate with Dr. Andrea Bublitz to develop and validate LLM-assisted pipelines that reduce data-collection costs while maintaining validity for marketing and opinion
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discovery and development through in vitro modelling of in-patient conditions in order to address antibiotic resistance, a problem of global importance. To reach this goal, AntiResist has assembled a panel of
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research on synthetic data. In an Innosuisse project with Boomerang Ideas, SBB, and gfs.bern, you will collaborate with Dr. Andrea Bublitz to develop and validate LLM-assisted pipelines that reduce data