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Field
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molecular biology, quantitative imaging and biophysical approaches to investigate cell shape changes in cultured cells and in vivo. Current projects in the lab include investigating the regulation
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Location: South Kensington About the role: The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple
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remote sensing surveys, material studies, and geoarchaeological and archaeometric sampling. Examples of current fieldwork by the Regato team are available on this webpage: https://www.knir.it/en
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About the Role Join a multi-disciplinary team that explores human intestinal development and disease using cutting edge single cell and spatial biology technologies, organoid models and
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gallery spaces. It is a department and college priority to enhance student, faculty and alumni connections to New York City. The department currently has 78 graduate students in eight distinct graduate
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. Desirable Qualifications: Desirable Qualifications: Laboratory skills:in vitro and in vivo studies, flow cytometry, andtechniques in molecular biology Experience with mouse models. Competency in SolidWorks
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. It is a department and college priority to enhance student, faculty and alumni connections to New York City. The department currently has 78 graduate students in eight distinct graduate programs: M.A
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help manage and contribute to our program in ex vivo human cell biology and in vivo rodent models, focused on deciphering the cellular and molecular basis for neurodegenerative diseases, including
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candidates are encouraged to apply by sending their CV with cover letter stating their current and future research interests, previous research experience and expected availability date to Dr. James Byrne
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validating deep learning models for the prediction of disease progression from ophthalmic data. Skills include working with image or computer vision-based toolkits, development of multimodal, multidata type