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of the land ice contribution to sea level rise until 2300 with machine learning. You will develop probabilistic machine learning “emulators” of multiple ice sheet and glacier models, based on large ensembles
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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22 Aug 2025 Job Information Organisation/Company Empa Research Field Engineering » Civil engineering Engineering » Other Researcher Profile Recognised Researcher (R2) Country Switzerland Application
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expertise in immunology with multi-color flow cytometry, confocal microscopy, molecular biology techniques such as qPCR, Western blot analysis, experience analyzing large and complex data sets, and strong
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cutting edge research work, develop novel computational tools and integrate new strategies for the safe and sustainable use of chemicals and materials. Your tasks Large-scale data analysis, programming and
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focus on the comparative effectiveness of drug therapies on dementia-related outcomes using large-scale observational electronic health record data and local electronic health record data. The fellow’s
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Experience with the analysis of large-scale genomic data Demonstrated ability to summarize scientific findings in the form of written manuscripts and oral presentations Desired Qualifications: Interest in
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disease with a focus on Alzheimer’s Disease. Computational models will be developed that utilize data obtained from a wide range of experiments, from basic biochemical methods to advanced imaging techniques
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informatics and signal processing. Experience with large volumes of physiological and temporal medical data and time series analytics are essential. Strong programming skills in Python and modern machine
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data and report clearly on the study’s findings. Able and willing to move large animals to and from the operating room table Responsibilities: Design, perform, and analyze data experiments pertaining