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Vision Profiler (UVP), and to analyse its spatial and temporal variability. This will be done by combining different data sources and machine learning (ML). Data used for this ML approach include - a
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transplant rejection through cutting-edge spatial multi-omics and computational metabolic modeling. The role involves developing and implementing computational methods to integrate single-cell and spatial
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data analysis, the use of computational, statistical, and data scientific approaches for interdisciplinary research, and data integration involving both spatial and non-spatial data. We expect candidates
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change. Experience in quantitative methods, spatial analysis, or handling large datasets would be valuable, but full training will be provided in climate modelling, statistical downscaling, and health
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manage the project to ensure the delivery of project milestones, coordinating tasks, monitoring progress, and maintaining accountability to funding and partner expectations. About you a PhD in soil or
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responsibilities (10%): · Supervising and mentoring research staff, PhD students, or postdocs · Providing guidance, training, and technical support to others in the research team · Ensuring
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statistical and machine learning methodologies to analyze and predict aspects of the collected data With the guidance of Drs. Stuber and Bruchas, develop experimental methodologies related to two-photon imaging
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ExperienceNone Additional Information Eligibility criteria The postdoc should have a PhD degree in evolutionary biology, with expertise in bioinformatics, statistics, programming and/or modeling. Previous
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to UC’s success. Job Overview Applications are invited for a tenure-track Assistant Professor position in statistics within the Department of Mathematical Sciences, which offers BS, MS and PhD degrees in
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» Applied mathematics Mathematics » Statistics Technology » Energy technology Researcher Profile First Stage Researcher (R1) Country Switzerland Application Deadline 11 Jan 2026 - 22:59 (UTC) Type of Contract