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agreement. The successful candidate is expected to take a leading role in the development of the group tasks and help in supervising PhD students. Applicants must have a PhD in experimental high energy
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Department BSD SRF - cGMP About the Department The primary mission of the Cellular and Tissue Based Processing cGMP Facility is to manufacture cell-based products and clinical grade reagents
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We are seeking to appoint a Postdoctoral Research Scientist in Statistics to join Professor Xin Lu’s group, with an affiliation with OPIG. The Lu Group (https://www.ludwig.ox.ac.uk/research/xin-lu
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determinations, pay recommendations) comply with federal and state wage-and-hour laws and other applicable regulations. Assess, develop, and enhance compensation tools, resources, and systems to improve
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development for neurodegenerative diseases. Typical activities will include performing cell culture techniques, cell staining, qPCR, PCR, Western Blots, and other biochemical assays. Will collect and analyze
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Assistant to join our team. The start date will be May or June 2026, with ideal start date by mid-May. The mission of the Muller Lab is to deepen our understanding of cardiac cyclic nucleotide cell signaling
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Assistant to join our team. The start date will be May or June 2026, with ideal start date by mid-May. The mission of the Muller Lab is to deepen our understanding of cardiac cyclic nucleotide cell signaling
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experimental records, both digital and hard copy Guide and train undergraduate and graduate student researchers Prepare scientific results for publication in peer-reviewed journals and grant applications
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of application may consider their applications unsuccessful. Details of the University’s Personal Information Collection Statement can be found at https://hro.hkbu.edu.hk/en/worklife-at-hkbu/employee-favourable
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 16 days ago
shape cellular plasticity in development and disease. By combining long-read and single-cell transcriptomics with multimodal data integration and AI-based modeling, we aim to uncover RNA programs