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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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-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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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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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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documentation of experimental results Preparation and publication of scientific articles in peer-reviewed journals Presentation of research results at international conferences and scientific meetings Your
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measurements, or pollutant modelling; A strong aptitude for experimental and/or computational research; Experience with quantitative data analysis and proficiency in one or more programming or scientific
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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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applications such as ferroelectric memory, photonic integrated circuits and next-generation telecommunications. You'll work at the exciting intersection of experimental materials science and materials
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comprehensive and innovative methods to directly test palaeoecological hypotheses using both fluid dynamics simulations and experiments, which will be applicable across the study of life on Earth. https