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Field
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cell culture models. Experience with in vivo imaging. Competencies and Skills: We value not only technical expertise but also the demonstration of core competencies such as Communication, Teamwork and
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MRE imaging methods to characterize brain mechanical properties, with particular emphasis on applications related to aging, mild cognitive impairment, and dementia risk, as part of ongoing longitudinal
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, digital image correlation (DIC), and microscopic analysis. Practical proficiency in MS Office and MATLAB. At least 12 years of professional experience in a technical field focused on materials engineering
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, information theory, computational biology and image processing. Applicants must have (or expect to have at the time of appointment) a PhD. The work location for this position is in-person on campus at Princeton
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operation. A prototype at ENSICAEN demonstrated feasibility, achieving a stable 800 °C with under 200 W. Building on this proof of concept, the project proposes a research program to confirm the potential
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Responsibilities: Conduct in vitro and in vivo experiments related to CNS angiogenesis, blood-brain barrier, and other neurovascular signaling, with a focus on mouse genetic approaches, imaging, and transcriptomics
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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design, nucleic acid and protein assays, microscopy/imaging techniques, animal studies, mammalian cell culture Preferred (not required, but an asset) skills: bioinformatic data analysis, R programming
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to the application deadline Have a strong grounding in biological systems and a demonstrated interest in cell biology and biological modelling. Have experience interpreting biological datasets, particularly imaging
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ranging from (bio)chemistry and physics to bioinformatics and cell biology. Our drive is to push boundaries in our aim to visualise molecular processes in their native context and at the highest possible