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PhD in experimental soft matter, physics, fluid dynamics, or a related field; experience designing and developing microscopy and imaging techniques, in particular at high speeds; the ability to work
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, including Bayesian methods, big data, causalinference, statistical computing, data science, functional data analysis, statistical genetics, hierarchical models,HIV/AIDS, image analysis, longitudinal data
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history, list of publications indicating scientific highlights, H-index and ORCID (see http://orcid.org/ ) Teaching portfolio including documentation of teaching experience Academic Diplomas (MSc/PhD) You
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associated with mitotic entry. You should hold a PhD (or be about to be awarded a PhD) in Cell Biophysics or a related field and have extensive experience with quantitative imaging and image analysis, and/or
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Range $72,405-119,496/year Type of Position Staff Position Time Status Full-Time Required Education PhD Click here for more information about equivalencies: https://hr.uky.edu/employment/working-uk
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collaboration, we are building a high-throughput single-cell analysis platform that combines microfluidics, advanced imaging and AI-based analysis to study gut microbial consortia. You will drive the development
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, quantitative image processing and data analysis. The postdoc will also contribute to the theoretical side of the project, developing models grounded in active matter physics, non-equilibrium statistical physics
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with the recruitment of 25 academic and 7 industrial PhD students. During the course of the DDLS program more than 260 PhD students and 200 postdocs will be part of the Research School. The DDLS program
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resonance imaging (MRI). The role holder will be expected to contribute to teaching and curriculum development for undergraduate and postgraduate programmes in the Department of Electrical and Electronic
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microscopy (EM), electron tomography and image analysis, in medical, biological, chemical, biochemical and physical research areas. You will be involved in teaching methodology courses at postgraduate level