47 experiment "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" uni jobs in Switzerland
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through innovative biomedical research and engineering solutions, translating basic science into medical knowledge and healthcare innovations. The Pediatric Disease Modeling Lab (https://dbe.unibas.ch/en
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(https://dbe.unibas.ch/en/research/data-driven-modelling-analysis/pediatric-disease-modeling-lab/) is seeking a Data and Computing Technician to build and maintain the data and computing backbone of a
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developing and applying these approaches to advance in vitro and ex vivo experimental models relevant to pharmaceutical performance assessment is desirable, particularly methods that support mechanistic
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-physics programme is centred on the ATLAS experiment at the LHC ' with heavy involvement in measurements and searches for new physics, in trigger and combined-performance activities, and with major
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science, or a related field - Experience with real-world medical data, AI, or computational methods in healthcare - A strong interest in translational and interdisciplinary research - Demonstrated ability
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référence. Les candidatures sont à déposer au format PDF via la plateforme de recrutement de l’Idiap : https://careers.werecruit.io/fr/idiap . Délai de postulation : 12 octobre 2026 Role Summary As Deputy
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these approaches to advance in vitro and ex vivo experimental models relevant to pharmaceutical performance assessment is desirable, particularly methods that support mechanistic understanding and predictive
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journals. Experience in school teaching is an additional asset. In your application, please refer to myScience and reference JobID 70227. Where to apply Website https://www.myscience.ch/jobs/id70227
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verified research prototypes into a production-grade, high-performance inference engine. Prior experience with formal verification is welcome but not required: a strong systems engineer with the motivation
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How to apply Please submit a single PDF containing: cover letter stating your motivation to pursue a Ph.D. and any prior experience in VR (ideally linked to perception of time and space) CV