21 digital-image-processing-phd-scholarship Postdoctoral positions in computer-science in Denmark
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-authored and single-authored works, that advance scholarship on the relationships between scientific literacy, technological literacy, and Bildung. Expected research outputs also include contributing
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. You will attend local and international scientific conferences. Your profile Applicants should hold a PhD in neurobiology, cell biology or related fields. You should be experienced in cellular
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. The selection process is entirely focused on scientific merits and strong performance in relevant skills, e.g. research management, funding, dissemination, and collaboration. We are recruiting several
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-resolution microscopy Genome editing (e.g., CRISPR-based approaches) Quantitative and live-cell imaging Functional genomics The project is embedded in an interdisciplinary research environment combining
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field of health science within the scope of the Faculty’s research areas. The selection process is entirely focused on scientific merits and strong performance in relevant skills, e.g. research management
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field of health science within the scope of the Faculty’s research areas. The selection process is entirely focused on scientific merits and strong performance in relevant skills, e.g. research management
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related genome editing approaches to disrupt biological processes that support prostate cancer progression with a focus on metabolism, hormonal and stress response signaling. Preparing samples
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-quality Danish registry data with links to data on researchers’ publications and research funding activities. The ideal candidate will be a recent PhD graduate with a deep interest in the economics of
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/dansk, and Social Science/samfundsfag. The research is expected to result in high-quality international publications, including both co-authored and single-authored works, that advance scholarship
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contribution to proteinuria-induced kidney injury. Our research integrates molecular and cellular biology, mouse models, advanced imaging, and omics technologies to uncover mechanisms driving chronic kidney