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consist of the PI, one postdoc and one PhD. Read more about the project here: https://dff.dk/en/our-funded-projects/meet-the-researchers/research-leaders/eksterne-personer-en/research-leaders-2025/mathias
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the preparation of progress reports and dissemination of findings to various audiences. Routine administrative duties, including coordinating project meetings, managing documentation, tracking budgets, and
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, and investigate their RNA cargo, cellular uptake, and intracellular trafficking in recipient cells. The work spans biochemical and molecular characterisation using single-vesicle tracking, nanoparticle
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Ling Yap Dr Md Mijanur Rahman Key skills and experience required: A PhD in Biostatistics, Epidemiology, Data Science, or related discipline and/or relevant work experience Have contributed to competitive
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have a PhD in chemistry, with a proven track record in catalysis, organic and organometallic chemistry, and mechanistic investigation. The position is full time and available for up to two years, in
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dedicated researcher with a PhD in mathematics, electrical or mechanical engineering, computer science or a related field, and a strong methodological background in machine learning. The ideal candidate has
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· Salary package: $112,550 - $120,621 (HEW A.6-A.8/ PhD awarded rate) plus 17% superannuation & annual leave loading · Full-time, fixed term appointment until April 2028 · Macquarie University
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performance. Minimum Qualifications Required PhD or equivalent in computer science, computational biology, biomedical engineering, or a related field by the appointment start date Expertise and a demonstrated
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hUPF1 proteins in different cancer cells. Establish and perform FRET assays to map, track, and quantify real-time protein-protein interactions (e.g., hUPF1-hUPF2 complexes) and monitor disruption by hits
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seeking a creative, independent and driven individual with documented research experience related to this position. The candidate should have a recent PhD in Immunology, Molecular Medicine, or a related