1,384 evolution "https:" "https:" "https:" "https:" "https:" "Ulster University" positions at Nature Careers
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the Shaul/Mineo lab receive strong support from both of the PI’s, who are committed to their professional development in preparation for academic, industrial, or entrepreneurial careers in cardiovascular
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research group under the national competitive funding programme “My First Research Team” . This programme is designed to accelerate the transition to research independence and to support the development
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development of blood and prostate cancers. Our research bridges basic, translational, and clinical studies to uncover mechanisms linking inflammation, DNA damage, and stem cell aging to cancer initiation and
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tissue. As the successful candidate you will have a PhD in instrument development or be due to complete doctoral studies within 6 months of applying. Ideally you will have experience of light sheet imaging
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at understanding brain development in cerebral organoids. Specifically, to undertake research to investigate human-specific differences in neuronal differentiation and maturation. The successful applicant will hold
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W3 Endowed Professorship for “Hemodynamic Modeling in Atherosclerosis- (f/m/d) KSB Foundation W3 end
and teaching, the professorship will represent functional cardiovascular imaging with a focus on hemodynamic modeling and act as a bridge between basic research, medical technology development, and
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high level. We expect the candidate to actively engage in the development of the research unit as well as to contribute positively to teaching at the department. Molecular Immunology The Department
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to BRIC-CDFD's institutional programs and professional development initiatives. The candidate is expected to excel in conceptualizing innovative research ideas, designing rigorous experimental strategies
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community; support multi‑omics data integration and analysis across multiple research groups; and collaborate on the development and maintenance of computational pipelines for spatially resolved
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NIMSB Technology Platform Leaders:Data Science, Single-Cell & Spatial Omics, Proteomics/Metabolomics
, machine learning–based computational approaches, and the development and application of human-derived microphysiological models, including organoids and organ-on-a-chip systems, to enable earlier disease